Jenna (Buchbinder) Abrams, AuD

Jenna (Buchbinder) Abrams, AuD

Doctor of Audiology, 2019

Jenna helped validate the first mutually conjoint bilateral machine learning audiogram.

She went on to become a clinical audiologist.

Yash Agarwal

Yash Agarwal

Bachelor of Science in Biology, Candidate

Yash is collecting Minecraft gameplay from neurological patients in order to evaluate their cognitive function.

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Gordon An

Doctor of Data Science, Candidate

Gordon worked on updating and evaluating Distributional Active LEarning estimators for cognitive functions.

Yasaman Ansari

Yasaman Ansari

Master of Science in Imaging Science, Candidate

Yasaman investigated the best procedure to embed informative behavioral tasks within standard Minecraft gameplay.

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Christa Baker

Christa worked in the lab from Summer 2009 through Fall 2009 as a Neuroscience doctoral rotation student.

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Krishna Bandi

Krishna worked in the lab from Summer of 2007 through Fall 2007 as a high school student in the Youth Scholars Program.

Dennis L Barbour, MD, PhD

Dennis L Barbour, MD, PhD

Professor
Department of Biomedical Engineering
MD, PhD, Johns Hopkins, 2003
BEE, Georgia Institute of Technology, 1995

David Bender, MD, PhD

David Bender, MD, PhD

Doctor of Medicine, 2021

Dave catalogued the relationships between spontaneous spiking activity and neural encoding in primary auditory cortex.

He went on to medical school at Columbia University and a psychiatry residency at Washington University.

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Reetom Bera

Reetom worked in the lab during Summer 2010 as a high school student.

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Parna Boroojeni, PhD

Parna worked in the lab during Spring 2016 as an electrical engineering doctoral rotation student.

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Steven Bosch, MS

Master of Science in Computer Science, 2017

Steven deployed the final cloud-based machine learning audiogram.

He went on to a career in software development.

Jake Browning

Jake Browning

Bachelor and Master's of Science in Computer Science and Math

Jake worked on updating and evaluating machine learning contrast sensitivity function estimators.

Scott Burns, MS

Scott Burns, MS

Master of Science in Biomedical Engineering, 2010

Scott researched artificially-induced neuronal plasticity using implantable brain-computer interfaces.

He went on to a career in imaging research and software engineering.

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David Byren

David worked in the lab from Spring 2008 through Spring 2009 as a biomedical engineering undergraduate student.

Bryan Cai, BS

Bryan Cai, BS

Bachelor of Science in Computer Science and Finance, 2016

Bryan worked on commercializing early speech perception brain training games.

He went on to pursue an MBA at the Wharton School.

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Wesley Campbell

Wesley worked in the lab from Fall 2007 through Spring 2008 as a biomedical engineering undergraduate student.

Carrie Cao

Carrie Cao

Bachelor of Science in Biology, Candidate

Carrie worked to acquire behavioral data in children engaged in Minecraft cognitive games.

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Ashleigh Castner

Ashleigh worked in the lab during Fall 2009 as a biomedical engineering doctoral rotation student.

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Samir Chabra

Samir worked in the lab from Spring 2009 through Fall 2009 as a biomedical engineering undergraduate student

Hanqi Chen

Hanqi Chen

Master of Science in Computer Science

Hanqi worked to support and extend the ability to acquire real-time cognitive data with active machine learning.

Jeff Chen, BS

Jeff Chen, BS

Bachelor of Science in Computer Science, 2019

Jeff created simulations that helped confirm the properties of machine learning audiogram estimators.

He then established a career as a management consultant.

Jonathan Chen, MS

Jonathan Chen, MS

Master of Science in Computer Science, 2020

Jonathan researched how to generalize a Bayesian probabilistic classifier with a 4-parameter linking function and binomial likelihood.

He went on to doctoral training in computer science at UCLA.

Thomas Chen, MS, MD

Thomas Chen, MS, MD

Master of Science in Biomedical Engineering, 2009

Thomas researched the biases in functional neuronal recording for various methods depending on the topographical arrangements of various response types.

He went on to medical school at Tulane University and a career in internal medicine.

Brian Chesley, MA

Brian Chesley, MA

Master of Arts in Statistics, 2018

Brian developed the machine learning visual field (threshold perimetry) test.

He went on to a career in data science.

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Allison Chin

Allison worked in the lab from Spring 2009 through Fall 2009 as a biomedical engineering undergraduate student.

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Ellie Degen, BS

Bachelor of Science in Biomedical Engineering, 2018

Ellie worked in the lab from Summer 2017 through Spring 2018 on assessing the functional equivalence of machine learning audiometry and classical psychometric curve models.

She went on to pursue a PhD in biomedical engineering at University of Wisconsin, Madison.

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Yuming (Amanda) Deng

Bachelor of Science in Biomedical Engineering and Computer Science, Candidate

Amanda investigated how best to extract behavioral data from Minecraft gameplay logs in order to design richer cognitive tests.

James DiLorenzo, MS

James DiLorenzo, MS

Master of Science in Computer Science, 2017

James developed the first conjoint psychometric test: the bilateral audiogram.

He went on to a career in software engineering.

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Chad Donahue

Chad worked in the lab Spring 2013 as a biomedical engineering MD/PhD rotation student.

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Afreen Ferdoash

Afreen worked in the lab during Fall 2009 as a biomedical engineering doctoral rotation student.

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Michelle Fern

Michelle worked in the lab Fall 2012 as a biomedical engineering undergraduate student.

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Silvina Ferradel

Silvina worked in the lab during the Fall 2008 as a biomedical engineering doctoral rotation student.

Dan Fu, MS

Dan Fu, MS

Master of Science in Biomedical Engineering, 2021

Dan worked to link front end behavioral data collection with back end active machine learning for scalable data accumulation.

He went on to work for a healthcare startup and attend medical school at Rutgers University.

Jeff Gamble, PhD

Jeff Gamble, PhD

Doctor of Philosophy in Biomedical Engineering, 2017

Jeff characterized neural networks made from a particular neuronal cell line for use as a spinal cord injury treatment.

He went on to a career in healthcare entrepreneurship.

Paul Gamble, MD

Paul Gamble, MD

Paul worked in the lab Summer 2012 as a medical student.

He went on to a career in medical entrepreneurship.

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Bradley Grace, BS

Brad worked in the lab from Summer 2010 through Fall 2011 as a biomedical engineering doctoral student on rewiring brain circuitry using targeted manipulation of plasticity mechanisms.

He went on to a career in education.

Álvaro Martín Grande

Álvaro Martín Grande

Bachelor of Science in Computer Science

Álvaro created and maintained the back-end machine learning server to support real-time cognitive modeling from tablet data.

Álvaro went on to pursue a doctoral candidate in Computer Science at the College of William & Mary.

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Matthew Grossman, MSW, MPH

Matt worked in the lab Summer 2019 as a master of social work / master of public health student.

Minzhe Michael Guo, MS

Minzhe Michael Guo, MS

Master of Science in Computer Science, 2021

Michael worked to add Bayesian active learning to our newest cognitive tests.

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Angela Guzman

Angela worked in the lab from Spring 2005 through Summer 2006 as a technician.

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Jeffrey Hall

Jeffrey worked in the lab during the Summer of 2006 as a high school student through the Youth Scholars Program.

He became the first St. Louis public high school graduate in 30 years to attend Harvard University.

Ammar Hawasli, MD, PhD

Ammar Hawasli, MD, PhD

Doctor of Medicine and Philosophy in Neuroscience, 2009

Ammar investigated the origins of oscillatory activity in human brain networks.

He went on to become a neurosurgeon in private practice.

Katherine Heisey, PhD

Katherine Heisey, PhD

Doctor of Philosophy in Neuroscience, 2020

Katherine generalized machine learning audiometry to extended models with wider application.

She went on to a career in aviation research.

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Chuck Holmes

Chuck worked in the lab Summer 2014 as a biomedical engineering doctoral rotation student.

Rebecca Howard, AuD

Rebecca Howard, AuD

Doctor of Audiology, 2018

Rebecca validated the first web-based machine learning audiogram.

She went on to become a clinical audiologist.

Bradley Hsu

Bradley Hsu

Bachelor of Science in Computer Science and Math, Candidate

Bradley worked on modernizing the machine learning audiogram web site form and function.

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Jeffrey Hsu

Jeff worked in the lab Summer 2013 as a computer science undergraduate.

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Joseph Humphries, PhD

Joey worked in the lab Fall 2015 as a biomedical engineering doctoral rotation student.

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Doug Hyde

Doug worked in the lab from Fall 2005 through Fall 2006 as a biomedical engineering undergraduate.

Bayan Jalalizadeh, MD, PhD

Bayan Jalalizadeh, MD, PhD

Doctor of Medicine, 2016

Bayan researched neural spike train correlation in mammalian auditory cortex.

He then went on to pursue an MD at Washington University and specialize in pediatric psychiatry.