Staff

Steven deployed the final cloud-based machine learning audiogram.

He went on to a career in software development.

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.

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.

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

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.

Braham deployed our modern cloud-based machine learning audiogram an implemented multiplexed psychometric testing.

He went on to pursue a PhD in computer science at The University of Texas at Austin.

Quinn Wai worked to evaluate the lab's machine learning contrast sensitivity function estimator.

Xiaochen worked on developing Python-based active learning code for cognitive testing.

He went on to pursue a PhD in computer science at Purdue University.