Members

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.

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

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.

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

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