Jen Gong

Jen Gong has worked in a variety of roles in the data science field since 2009. In 2009, they worked as a Research Assistant at the Department of Systems Biology, Harvard Medical School, where they programmed evolutionary dynamics using C with two types of individuals (altruistic and selfish) and analyzed conditions (individual fitness, cost to population) under which altruists will take over if program is run until fixation. In 2010, they worked as a Research Assistant at the Neuroscience Statistics Research Laboratory, MIT, where they conducted thesis research on parameter estimation of underlying dynamic system from binary observations, used statistical methods to conduct hypothesis tests on serially correlated data such as respiratory rate, and used left-truncated probability distributions to model amplitudes and inter-event intervals of miniature post-synaptic currents. In 2012, they were a Ph.D. student at the Data Driven Inference Group, CSAIL. In 2014, they were a Software Engineering Intern at Google. In 2017, they were a Data Science Intern at Grand Rounds, Inc. In 2018, they were a Postdoctoral Scholar at the University of California, Berkeley, Haas School of Business. Finally, in 2019, they were a Postdoctoral Scholar at the Center for Clinical Informatics and Improvement Research (CLIIR), UCSF. Currently, they are a Lead Staff Data Scientist and Lead Data Scientist at HEALTH[at]SCALE Technologies.

Jen Gong attended Harvard University from 2008 to 2012, where they graduated with a Bachelor of Arts (B.A.) in Applied Mathematics and a secondary in Statistics. Jen then attended Massachusetts Institute of Technology (MIT) from 2012 to 2014, where they earned a Master of Science (M.S.) in Electrical Engineering and Computer Science. Finally, they earned a Doctor of Philosophy (Ph.D.) in Electrical Engineering and Computer Science from MIT in 2018.