Jerson R. Cochancela

Jerson is a Ph.D. student in the Department of Biostatistics at Brown University and works under the supervision of Professor Roee Gutman. His areas of interest and research include Bayesian data analysis, missing data, causal inference and machine learning.

Jerson received a B.S. with Honors in Mathematics from Stony Brook University (SBU) in 2015. He went on to receive an M.S. in Statistics from the Department of Applied Mathematics & Statistics at SBU under the supervision of Professor Hongshik Ahn. In addition, Jerson served as a lecturer in both the Department of Applied Mathematics & Statistics and the Department of Mathematics from 2015-2016.

Jerson joined Dr. David Lederer’s lab in 2014 at Columbia University Medical Center as a trainee in Pulmonary & Intensive Care Translational Outcomes Research where he worked on the Lung Allocation Score. Their work re-examined factors predisposing patients to respiratory failure while awaiting lung transplantation in order to readjust the lung allocation scoring system.

From 2016-2018, Jerson was a Fellow in the Department of Biostatistics at Brown University where he was recognized by the School of Public Health with an Impact Award for his commitment to equity and inclusion. As a Fellow in 2017, Jerson joined the Hassenfeld Insititute and was involved with Lifespan researching childhood asthma. Using geospatial data specific to Providence, RI, he examined how neighborhood risk moderates the association between asthma and asthma related emergency room visits ultimately informing interventions in high risk neighborhoods. In 2018, before beginning his Ph.D. at Brown University, Jerson joined the Data Science team at Johnson & Johnson and developed anomaly detection software by refactoring Prophet, the Facebook Bayesian forecasting package, in order to curb malicious purchasing patterns.