Persistant

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

She went on to become a clinical audiologist.

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

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

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

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.

Steven deployed the final cloud-based machine learning audiogram.

He went on to a career in software development.

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

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

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

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

Bryan worked on commercializing early speech perception brain training games.

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

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

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

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

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

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

He then established a career as a management consultant.

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

He went on to a career in data science.

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.

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

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

He went on to a career in software engineering.

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 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.

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 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.

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

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

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

He went on to become a neurosurgeon in private practice.

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

She went on to a career in aviation research.

Rebecca validated the first web-based machine learning audiogram.

She went on to become a clinical audiologist.

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

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.

Cate worked on identifying predictors of outcomes in pediatric brain tumor patients.

Austin worked in the lab from Summer 2007 through Fall 2008 as a biomedical engineering undergraduate.

Robert is working to implement Distributional Active LEarning for tests of cognition.

Pat worked in the lab from Spring 2009 through Spring 2011 on computational modeling of action potential initiation.

He went on to purse an MD at Vanderbilt University and specialize in neurosurgery.

Nathan Killian worked in the lab from Fall 2005 through Spring 2007 on noise reduction strategies for cochlear implants.

He went on to pursue a PhD in biomedical engineering at Georgia Tech and established a neuroscience research career as a professor at Albert Einstein College of Medicine.

Woosung worked in the lab from Fall 2006 through Fall 2009 as an electrical engineering doctoral student on decoding speech sounds from electrocorticography recordings in humans.

He went on to complete his doctorate and pursue a career in software engineering.

Kim worked in the lab from Spring 2007 through Summer 2014 as a technician.

Bill worked in the lab from Fall 2005 through Spring 2008 as a biomedical engineering doctoral student on brain computer interfaces to induce targeted neuroplasticity.

He went on to a career in data science.

Abbie worked in the lab as an undergraduate student from Spring 2005 to Spring 2006 on virtual acoustic motion perception.

She went on to pursue a PhD in electrical engineering at Georgia Tech and has established an auditory research career as a professor at the Technical University of Denmark.

Karthik worked in the lab from Spring 2012 to Spring 2014 as a biology / biomedical engineering undergraduate.

Trevor evaluated the efficiency of Bayesian active model selection for audiometric diagnoses.

He went on to a career in healthcare data science.

Noah explored the possibility of reorganizing neural circuits for improved function using electrical stimulation and novel video game design.

He went on to a career in entrepreneurship education and software engineering.

Qihan coded for our brain training video games.

He went on to a career as a software developer.

Mark is building out the behavioral task dictionary to enable behavioral quantification in interactive virtual worlds.

Pranav worked on incorporating extra testing variables into Bayesian active learning procedures for efficient cognitive testing.

He has gone on to a career in management consulting.

Dom is working to enable any behavioral task sequence within interactive virtual worlds to be informative about underlying cognitive processes.

Jaime worked in the lab from Fall 2006 through Spring 2008 as a biomedical engineering undergraduate student.

She went on to complete a doctorate in biomedical engineering at Case Western Reserve University and pursue a career in medical device development.

Aaron worked in the lab from Fall 2009 through Spring 2010 as a BME undergraduate student.