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2019 Neural Computation and Engineering Connection Highlights

Poster for 2019 Neural Computation and Engineering Connection

The 2019 Neural Computation and Engineering Connection (NCEC) was held on January 24-25, 2019. This annual event brings together the UW neuroengineeirng and computational neuroscience communities to share and discuss new research and facilitate collaborations. The event is sponsored annually by the UW Institute of Neuroengineering (UWIN), the Center for Neurotechonolgy (CNT), and the UW Computational Neuroscience Center.

This year’s connection drew 160 attendees, with a multitude of talks: four by invited keynote lecturers, four from local UWIN faculty, three talks by senior UWIN/Swartz postdoctoral fellows, and seven talks by senior UWIN and Computational Neuroscience graduate students. Alongside these talks, there were a series of lightning talks by new graduate students and postdoctoral fellows, a poster session, and an ethics panel. Thank you to all who attended and participated!

Day 1: Thursday, January 24, 2019

Poster Session

Day 1 of NCEC kicked off with a poster session over lunch! UW faculty members and students presented their work on a variety of neural engineering and computational neuroscience topics.


“Subject-specific quantification and acceleration of motor learning “

Momona Yamagami, UWIN Graduate Fellow, Steele and Burden labs

Yamagami looks to improve treatment of individuals with neurologic injury by analyzing how predictive (feedforward) and reactive (feedback) controllers change as individuals perform a manual trajectory tracking task.


“Electrophysiological Correlates of Feedback Learning in Humans”

Patrick Rice, Computational Neuroscience Graduate Fellow, Stocco lab

Rice investigates how learning and behavior in target discrimination tasks can be improved through the use of noninvasive neuromodulation of various event-related potentials, such as error- and feedback- related negativity. With this investigation in progress, plans were discussed to apply this research to deeper cortical regions of the brain through trans-cranial magnetic stimulation.


“Continuous long-term recording of sleep in a mouse model of epilepsy”

Raymond Sanchez, UWIN Graduate Fellow, de la Iglesia lab

Sanchez addresses issues with manual long-term sleeps studies, which are often time-consuming and error-prone, by working to develop sleep-stage classification algorithms that can parse the stages of rest. The algorithm currently can detect REM sleep well, and is continuing to be worked on with an increased training set size.


“Does the mouse see the world like an artificial neural network?”

Iris Shi, Computational Neuroscience Graduate Fellow, Shea-Brown and Buice labs

Shi’s goal is to predict single neuron responses through an artificial neural network and to compare the responses that occur in a mouse’s visual cortex, in hopes of gaining insights into how the mouse visual cortex processes natural visual stimuli.


“What do patients with retinal prostheses actually see?”

Ezgi Irmak Yücel, UWIN Graduate Fellow, Fine and Rokem Lab

Yucel looks to discover the experiences of retinal prostheses patients through a series of manipulations of stimulation protocols, in the process solidifying a few problems in creating reproduceable percepts. One of these problems revolves around differences in retinal structure which causes variation in electrode stimulation, producing a variety of different shapes which are inconsistent from patient to patient.  


“Concurrent measurement of olfactory information and behavior tracking during odor-guided navigation”

Mohammad Tariq, UWIN Graduate Fellow, Gire and Perkel labs

Tariq works to study how dynamically varying odor flow guides decision making in animals who rely on odor as a method of navigation. He uses a network of low-cost, lightweight sensors to monitor olfactory information in real time, which is then combined with behavioral tracking of animals.


Investigating Neural Synchrony Within the Monkey Hippocampus”

Aaron Garcia, UWIN Graduate Fellow, B. Brunton and Buffalo labs

Garcia expands the investigation of simultaneous neural firing from rodents to primates in an attempt to determine the mechanisms of memory formation and navigation in primates. This effort revolves around applying non-traditional analysis methods on recorded local field potential from the primate hippocampus.


Keynote Lecture: “He can be a normal child; he couldn’t do that before.”: The potential for therapy-directed neurorecovery after pediatric-onset SCI

Andrea Behrman, Professor, Neurological Surgery, University of Louisville

In the first keynote lecture, Berhman investigates the status of neurotherapeutic interventions and how the current state of therapies based on activity-dependent plasticity has altered the trajectory of outcomes with acquired spinal cord injuries. By using locomotion training with patients, even if the patient cannot make certain movements voluntarily, the neuromuscular system can learn the correct motor patterns and the spinal cord nerves can learn to fire to encourage voluntary movement. These interventions can decrease scoliosis severity, improve respiratory function, improve ability to sit, and improve trunk control, and with continued research can perhaps reach even further.


Panel Discussion of Ethics in Neuroscience

Day 1 ended with a discussion on the topic of “what are our responsibilities as scientists at the interface of neuroscience, computation, and engineering?” The panel covered many different points including managing data and protecting patient privacy, considering the place neurointerventions have in society, as well as the separation between restoring function and enhancing function.

Panel Speakers (left to right): Mitra Hartmann, Andrea Behrman, Eric Shea-Brown, Abby Person, Maryam Shanechi, Michael Berry, David Perkel, Loren Frank. Panel chair (not pictured): Adrienne Fairhall.

2019 Neural Computation and Engineering Connection Panel

Day 2: Friday, January 25, 2019

Keynote Lecture: “Neural Decoding and Control of Mood to Treat Neuropsychiatric Disorders”

Maryam Shanechi, Assistant Professor, Electrical Engineering, University of Southern California

2019 Neural Computation and Engineering Connection Speaker

Shanechi works to model and decode mood variations in an effort to create future closed loop therapies which would have the ability to read the brains signal, encode this bio-signal to an electrical one, provide some electrical stimulation as input, and continue to self-modulate to monitor and manage mood. Her current investigations work with creating a model to characterize the bio-signal output by the brain as well as to identify the locations in the brain that are most predictive of mood.


“Advancing Neuroscience through Next-Generation Optical Tools”

Andre Berndt, Assistant Professor, Bioengineering, University of Washington

Berndt designs a new method of optimizing new sensor proteins in order to streamline a resource and time-intensive task of creating tools that have the potential to provide data at high spatial and temporal resolution. Through a recursive high throughput method consisting of random mutagenesis, ensuring individual sensor expression, screening in microarrays, and DNA sequencing of the best performing sensor, Berndt believes the creation of these sensor proteins will be more efficient.


“Context-Adaptive Neural Models of Language”

Mari Ostendorf, Professor, Electrical & Computer Engineering, University of Washington

Ostendorf looks to transfer the fluid language adaptation of humans to computational modeling of language through the incorporation of modified variables into the neural network model of language. These variables include changing discrete variables to continuous, allowing for words to be related to each other and characterize similarity easier, as well as various methods of a weighted variable of bias, which allows for multiple contexts to be considered at once.


“Bioinspired multifunctional mobility”

Tom Libby, Washington Research Foundation Postdoctoral Fellow in Neuroengineering, Electrical & Computer Engineering and Biology, University of Washington

Libby works to improve robotics through incorporating the understanding of animal’s complex interactions between behavior and morphology. He emphasizes multi-functionality exhibited in animals and emphasized the need for multi-functionality in robotics in order to reduce the need for isolated movements and highly calculated encounters.


Decoding motor control to improve movement in cerebral palsy”

Kat Steele, Assistant Professor, Mechanical Engineering, University of Washington

Steel examines whether altered motor control limits potential improvements in movement patterns of individuals with cerebral palsy and the implications for their clinical care. Using a simulation model which displays optimal gait for varied synergy levels – varying the ability to co-activate certain muscle groups and display fine motor control – which at the lowest levels optimized to movement patterns similar to those in individuals with cerebral palsy. The lowered synergy levels lowers the ceiling on recovery as even after surgery and rehabilitation, synergy spaces is hard to modify, although in the future, therapy may focus specifically on expanding synergy space.


Keynote Lecture: “Insights into cerebellar control of movement”

Abigail Person, Assistant Professor, Physiology and Biophysics, University of Colorado Denver

Person investigates how cerebellar damage leads to dysmetric movement through experiments defining the relationship between cerebellar activity and limb reaching movement in freely behaving mice. The experimentation supports the idea that the signaling by Purkinje neurons are used for the feedforward control of the reaching limb.


Signatures and mechanisms of low-dimensional neural predictive manifolds.”

Stefano Recanatesi, Swartz Postdoctoral Fellow, Physiology & Biophysics, University of Washington

Recanatesi looks at ability of recent neural networks to solve sequential processing tasks using predictive modeling and uses a recurrent artificial neural network model to investigate if the ability of the hippocampus to guide sequential planning. The recurrent neural network was trained with predictive learning on a simulated spatial navigation task and resulted in a series of nonlinearly modified inputs which captured the structure of the environment, highlighting the predictive aspect of neural representations.


“From the wet lab to the web lab”

Anisha Keshavan, Washington Research Foundation Postdoctoral Fellow in Neuroengineering and Data Science, Speech and Hearing Science & eScience Institute, University of Washington

2019 Neural Computation and Engineering Connection Speaker

Keshavan addresses the difficulties that have arisen from advances in technology allowing massive amounts of data to be collected, and proposes how using web technology can help neuroscientists manage the big data challenge. Through the use of web-based visualization, collaborative meta-analysis, and citizen science platforms, scientists can address challenges of high data dimensionality, integrating a seemingly endless stream of new results into literature, and scaling decisions made by neuroimaging experts to large data sets.


Distributed correlates of visually-guided behavior across the mouse brain”

Nick Steinmetz, Assistant Professor, Biological Structure, University of Washington

Steinmetz presents recent work studying the neural mechanism of visually-guided behavior in mice by using Neuropixels probes to record the activity of 30,000 neurons over 42 brain regions while mice performed a vision-based behavior task. The work provides a new view on the neural population, showing how neurons in different regions respond differently when making decisions as opposed to when responding to purely visual signals, as well as highlighting how all brain regions are active and working together to respond to a stimulus.


Keynote Lecture: “Whiskers as tactile and flow sensors: linking neuroscience, mechanics, and robotics”

Mitra Hartmann, Professor, Biomedical Engineering and Mechanical Engineering, Northwestern University

Hartmann studies the use of animal vibrissae (whiskers) in order to sense fluid flow in their environment, and works on applying biological insight to the design of artificial whiskers for tactile and flow sensing. These insights have led to mechanical analysis that also is applied to guide neurophysical experiments in hopes of better understanding both the neuroscience and mechanics of whisker-based sensing.

February 2019 UWIN seminar: talk by Adam Calhoun

February  2019 UWIN speaker Adam Calhoun

The February 2019 UWIN seminar features a talk by visiting speaker Adam Calhoun, who is a Postdoctoral Fellow in the Princeton Neuroscience Institute at Princeton University. His talk is titled “Quantitative methods to identify behavioral states”.

The seminar is on Wednesday, February 13, 2019 at 3:30 in Husky Union Building (HUB) 337. Refreshments will be served prior to the talk.

Abstract:

Animals must flexibly alter their responses to stimuli according to changing internal needs or behavioral contexts. This source of behavioral variability is often ignored because we lack of methods that are able to identify the changing internal state of an animal. To address this gap, we have developed a novel unsupervised method to identify internal states and have applied it to the study of a dynamic social interaction. During courtship, Drosophila melanogaster males chase and sing to females and, in a manner analogous to human conversation, the structure of their songs is actively patterned by interactions with the female. We identify the internal states of the male use this new model to identify neural correlates of state switching. Our results reveal how animals compose behavior from previously invisible states, a necessary step for quantitative descriptions of animal behavior that link environmental cues, internal needs, neuronal activity, and motor outputs.

Applications open for 2019 UWIN undergraduate and post-baccalaureate fellowships

Applications are now open for the 2019 WRF Innovation Undergraduate and Post-baccalaureate Fellowships in Neuroengineering.  Applications are due by Monday, March 4, 2019.

These fellowships provide up to $6000 to support for undergraduate and post-baccalaureate researchers committed to working in UWIN faculty labs.  More information about applying for these fellowships can be found in the links below:

January 2019 UWIN seminar: talk by Guillaume Lajoie

January 2019 UWIN Seminar speaker Guillaume Lajoie

The first UWIN seminar of 2019 features a talk by visiting speaker Guillaume Lajoie from Université de Montréal’s Department of Mathematics and Statistics. The talk is titled “Successful learning in artificial networks thanks to individual neuron failure”.

Guillaume is an Assistant Professor in the Department of Mathematics and Statistics at the Université de Montréal, and is also an Associate Member of Mila, the Quebec Institute for Learning Algorithms. We are especially excited to welcome Guillaume back to UW as he was previously a UWIN postdoctoral fellow!

The seminar is on Wednesday, January 9, 2019 at 3:30 in Husky Union Building (HUB) 337. Refreshments will be served prior to the talk.

Abstract:
This talk will outline work in progress. Not unlike the brain, artificial neural networks can learn complex computations by extracting information from several examples of a task. Typically, this is achieved by adjusting the parameters of the network in order to minimize a loss function via gradient descent methods. It is known that introducing artificial failure of single neurons during a deep network’s training, a procedure known as dropout, helps promote robustness. While dropout methods and variants thereof have been successfully employed in a variety of contexts, their effect is not entirely understood, and relies on stochastic processes to select which units to drop. Here, I will discuss two methods designed to purposely select which units would best benefit learning if dropped or temporarily modified, based on their tuning, activation and the current network state: The first method is aimed at improving generalization in deep networks, and the second combats gradient exploding and vanishing in recurrent networks, when learning long-range temporal relations. While gradient descent methods for artificial networks are not biologically plausible, I will discuss how relationships between neural tuning and failure during training can inform exploration of learning mechanisms in the brain.

Registration open for 2019 Neural Computation and Engineering Connection (NCEC)

Poster for the 2019 Neural Computation and Engineering Connection

Registration is open for the 2019 Neural Computation and Engineering Connection (NCEC)! It will be held on the afternoon of Thursday, January 24, 2019 and all day Friday, January 25, 2019.  NCEC brings together the University of Washington neuroengineering and computational neuroscience communities in an exciting and stimulating event!  This event is sponsored by the UW Institute for Neuroengineering (UWIN), the UW Computational Neuroscience Center, and the Center for Neurotechnology.

The keynote speakers for NCEC 2019 are: Mitra Hartmann (Northwestern), Abby Person (University of Colorado Denver), Andrea Behrman (University of Louisville), and Maryam Shanechi (University of Southern California).

Local speakers include: Andre Berndt (UW Bioengineering), Kat Steele (UW Mechanical Engineering), Nick Steinmetz (UW Biological Structure), and Mari Ostendorf (UW Electrical & Computer Engineering).  UWIN and Computational Neuroscience graduate and postdoctoral fellows will also be giving talks.

Registration is free but required.
Please register at: https://goo.gl/forms/6ImItt7dvukz2P3n2

Registration closes on Friday, January 11, 2019.

Thursday’s events will be at the Center for Neurotechnology (Russell Hall Suite 204, 1414 NE 42nd St.), starting with a poster session during lunch, followed by student talks, a keynote lecture by Andrea Behrman, and a panel discussion on ethics in neuroscience.

Friday’s events will be all-day at the Husky Union Building (HUB) room 334, including keynote talks by Mitra Hartmann, Abby Person, and Maryam Shanechi, talks by UW faculty Andre Berndt, Kat Steele, Nick Steinmetz, and Mari Ostendorf, and talks by senior UWIN and Swartz postdoctoral fellows. NCEC will end with a late afternoon reception on Friday in HUB 332.

Neuron paper on proprioception published by UWIN affiliates John Tuthill and Pralaksha Gurung

"Neural Coding of Leg Proprioception in Drosophila" written by John Tuthill and Pralaksha Gurung, published in Neuron

Graphical Abstract for “Neural Coding of Leg Proprioception in Drosophila”

UWIN faculty member John Tuthill and UWIN-post baccalaureate fellow Pralaksha Gurung published a paper in Neuron  on how sensory neurons in a single leg joint in Drosophila (a genus of flies often lumped together as “small fruit flies”) code movements and control behavior in that joint. The paper titled “Neural Coding of Leg Proprioception in Drosophila” describes the work using fluorescent dye-based two-photon calcium imaging to isolate and investigate these specific sensory neurons.

In order to move, nearly all mobile animals rely on receptors that specialize in position and movement called proprioceptors. Challenges arise in modeling and analyzing proprioceptors due to complications in isolating the specific clusters of receptors and relating them across individuals in a species. These challenges were addressed in this paper by focusing on a specific proprioceptor group within the leg of the fruit fly – which previous research had marked as controlling precise leg movements, such as walking.  In order to isolate the specific proprioceptor, a magnet and pin glued onto the fly’s tibia controlled the fly’s leg position.  By measuring neuron activity during the fly’s range of leg movements, the researchers found the sub-classes of neurons that responded to different positions of the joint, as well as the neuron’s sensitivity to movements.  The isolation and mapping of the cluster of neurons provides more insight into how proprioceptors aid in everyday motion.

"Neural Coding of Leg Proprioception in Drosophila" written by John Tuthill and Pralaksha Gurung, published in Neuron

This work helps build an understanding of how stimulation of a single leg joint is received and translated by sensory neurons, and also builds a framework for how complex feedback signals are used in the body to dictate movement.  This work connects with the mission of the Air Force Center of Excellence on Nature-Inspired Flight Technologies and Ideas (NIFTI).

Previously, Dr. Tuthill won a 2018 McKnight Scholars award,  was named a 2017 Allen Institute Next Generation Leader, was awarded a Sloan Fellowship, was named a 2017 Searle Scholar, and received a UW Innovation Award.

UWIN visiting scientist Rafael Yuste wins 2018 Eliasson Global Leadership Prize

UWIN visiting scientist Rafael Yuste, winner of the Eliasson Global Leadership Prize

UWIN visiting scientist Rafael Yuste

We are excited to announce that UWIN visiting scientist Rafael Yuste has won the 2018 Eliasson Global Leadership Prize given by the Tällberg Foundation! Neuroscientist Rafael Yuste is a professor of Biological Sciences and director of the NeuroTechnology Center at Columbia University, and is currently a UWIN visiting scientist.  Dr. Yuste is an expert on advanced optical methods for in vivo neural recording and additionally has contributed significantly in the area of single neuron biophysics. His laboratory analyses structure, dynamics and coding in cortex and in the cnidarian Hydra.

The Eliasson Global Leadership Prize honors recipients who embody the ideals of Jan Eliasson, a Swedish diplomat and former Deputy Secretary-General of the United Nations.  The foundation selects recipients whose work is “innovative, optimistic, courageous, rooted in universal values and global in implication.”  In addition to Professor Yuste’s research in advanced optical methods for in vivo neural recording in an effort to understand how neural circuits in the cerebral cortex work, he has also placed an emphasis on scientific advocacy. In 2011, Yuste proposed a large scale neuroscience project which became the basis of US BRAIN Initiative, a 12 year proposal that currently involves over 500 labs and is working to understand the neural pathways in humans and animals. As this research progressed, Yuste expanded his work into the consequences of this research, considering the possible impacts of the convergence of neuroscience and artificial intelligence and advocated to add five “NeuroRights” in the Universal Declaration of Human Rights.

The chairman of the Tällberg Foundation, Alan Stoga, said the Prize jury recognized Professor Yuste’s  “commitment to thinking about human identity in more robust ways and his absolute urgency to encourage others to think deeply about the ethics and ethical implications of disruptive technology, particularly in neuroscience”

December 2018 UWIN seminar: Short talks by Tom Daniel and Chris Rudell

December 2018 UWIN Seminar Speakers Tom Daniel and Chris RudellPlease join us for the December 2018 UWIN seminar! This seminar features a pair of short talks by UWIN faculty members Tom Daniel and Chris Rudell:

  • Engineering Odor Guided Flight”
    Tom Daniel, Professor, Department of Biology, University of Washington
  • Highly-Integrated Neural Stimulation Electronics for Bidirectional Brain-Computer Interfaces (BBCI) including Artifact Cancellation”
    Chris Rudell, Associate Professor, Department of Electrical and Computer Engineering, University of Washington

The seminar is on Wednesday, December 12, 2018 at 3:30pm in Husky Union Building (HUB) 337. Refreshments will be served prior to the talks.

Abstracts:

“Engineering Odor Guided Flight” (Tom Daniel):

The capacity for animals to localize odor sources far exceeds what can be manufactured today. In part, this extraordinary capacity is due to the behavioral mechanisms animals use and in part to the neural machine they deploy. This talk will review past work in odor localization and then continue to a neuro-integrated system that draws on the unparalleled sensory capabilities of animals. It is also possible I may change my mind and talk about something else.

 

“Highly-Integrated Neural Stimulation Electronics for Bidirectional Brain-Computer Interfaces (BBCI) including Artifact Cancellation” (Chris Rudell):

Miniaturization of neural stimulation and recording electronics is a key obstacle to the vision of using in vivo Bidirectional Brain Computer Interfaces (BBCI) for neuromodulation. This presentation will highlight techniques enabling integration of BBCI systems in single chip form. Specifically, our group has focused on integrating stimulation electronics using low-voltage digital CMOS to achieve a reliable high-voltage compliant (+/-12V) single-chip stimulator. The chip is capable of delivering a Biphasic Current Pulse of up to 2mA into a broad range of electrode impedances, from purely resistive to capacitive. The presentation will conclude with the description of a recently fabricated BBCE chip. A product of joint collaborative efforts, this 2mm x 2mm single chip integrates a 64-channel neural recording front-end with 4-stimulation channels and both differential- and common-mode artifact cancellation in a 65nm TSMC process.

Successful spinal cord rehabilitation trial by UWIN affiliates Chet Moritz and Soshi Samejima featured on King 5 News

Successful spine injury rehabilitation trial conducted by UWIN affilliates Chet Mortiz and Soshi Samejima

Transcutaneous Spinal Stimulation project with Chet Moritz
Image credit: Center for Neurotechnology;

UWIN/Center for Neurotechnology (CNT) graduate fellow Soshi Samejima, and UWIN faculty member (and CNT Co-Director) Chet Moritz were featured on King 5 News for their research which resulted in a successful spinal cord rehabilitation trial.  The article focuses on the study participant, Joe Beatty, who suffered a spine injury which left him with a “future life without the use of his limbs.”  During the course of the study, Joe has regained some fine control in his limbs, going from having “a difficult time to feed himself, grabbing thing, grasping utensils” to movement that is “improved where he can grab sandwiches, he can grab a remote, grab his cell phone,” even walking with some aid for up to eight minutes.  With defined improvements in Joe’s movements, the initial trial has been a success and the Center for Neurotechnology is looking to refine and expand the new method of rehabilitation for chronic spinal cord injuries.

Dr. Mortiz and his team changed the traditional invasive methods of spinal cord rehabilitation by applying transcutaneous electrical simulation – that is, stimulation of spinal cord circuits through the skin. This noninvasive electrical stimulation happens at the same time that the patient performs movements, and the stimulation allows the patient to move better than without stimulation.  Repeated sessions even lead to long term improvements, although the exact mechanism has not been solidified. Currently, Dr. Mortiz and his team believe that by having the simulator firing at the same time that the patient practices movements, the patient can rewire the connections between the neurons in the brain and the spinal cord, leading to long term changes.

With initial success in nerve stimulation trials, the study plans to expand to four other states with the intent to design individual units that patients can take to their house in order to provide convenient ongoing treatment.  Learn more about this research on the Center for Neurotechnology website and in the study’s associated paper.

Soshi Samejima was awarded a UWIN graduate fellowship in 2017.  Chet Moritz, in addition to being the CNT Co-Director and a member of the UWIN Executive Committee, is part of the team running the Laboratory for Amplifying Motion and Performance (AMP Lab).  He was also part of the team awarded a $1 million prize as part of reaching the finals in the GlaxoSmithKline Bioelectronics Innovation Challenge.

November 2018 UWIN Seminar: Joint seminar with the eScience Institute, talk by Reza Hosseini Ghomi

Reza Hosseini Ghomi, the November 2018 UWIN seminar speaker The November 2018 UWIN seminar is a special joint seminar with the eScience Institute! The seminar will be given by Reza Hosseini Ghomi, a Senior Fellow in the Department of Neurology at the University of Washington, and the Chief Medical Officer of NeuroLex Laboratories.  He will be speaking on:

Digital Biomarkers: Do they hold promise for better neuropsychiatric disease detection?

The seminar is on Wednesday, November 14th, 2018, at 3:30pm in Health Science Building (HSB) K-069. Refreshments will be served prior to the talk.

Abstract:

For this talk I would like to review the field of digital biomarkers and provide some background and context for our work. Specifically, what are digital biomarkers and how are they useful? I will show some results of our early work using recorded voice samples, accelerometer data, neuroimaging measures, and several other objective and subjective measures from patients with Parkinson’s, Depression, Schizophrenia, and from the Framingham Heart Study’s cognitive aging cohort. We will touch on the shifting paradigm of research to complete work in this area of big data and what we can do differently moving forward to offer novel insights.

Biography:

Reza’s passion lies at the intersection of neuropsychiatry, technology, and education. He is most interested in bringing significant and measurable improvement to the screening, diagnosis, and treatment of neuropsychiatric illness through the advancement of technology, and empowerment through collaboration.

To that end, when he is not practicing neuropsychiatry, he is director of the DigiPsych Lab and chief medical officer for NeuroLex Laboratories where his research and development work focuses on the exciting new field of voice diagnostics – using a brief recording of voice to screen, diagnose, and track a wide range of illnesses in an ultra-rapid, cost-effective, accurate, and accessible way.

Drawing on his previous experience as an engineer – he develops imaging technology at Massachusetts General Hospital and an electronic health record for VecnaCares. He is also a founding partner of Stanford Brainstorm, the first behavioral health innovation and entrepreneurship laboratory.

He holds a BS in electrical and computer engineering from Rensselaer Polytechnic Institute, an MSE in biomedical and electrical engineering from Johns Hopkins University, and an MD from University of Massachusetts Medical School, and is now completing and transitioning from the University of Washington’s psychiatry residency to their neurology movement disorders fellowship to focus on neurodegenerative disease

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