I am a PhD candidate at MIT CSAIL, advised by Professor Regina Barzilay. My research focuses on developing machine learning methods in the healthcare domain. I was born in Geneva, Switzerland and moved to the United States when I was sixteen. I attended the International School of Boston for two years, where I now serve as a member of the Board of Trustees, assisting in school governance, and alumni relations. I graduated from MIT in 2017, with a Master's in Computer Science and Electrical Engineering, studying artificial intelligence, mathematics and neuroscience. While at MIT, I spent two years in Ed Boyden's Synthetic Neurobiology group, working on the application of Expansion Microscopy to Connectomics. I then joined ASAPP Inc., a New York City startup focused on bringing machine learning to the customer service industry. I spent three years at ASAPP, working on natural language processing and model compression, before returning to MIT in 2020 to start my PhD. In my personal life, I'm a big football (soccer in the US) and golf enthusiast. I also really enjoy food, and have recently discovered the joy of baking.
Authors: Ziheng Wang, Jeremy Wohlwend, Tao Lei
Authors: Alexander Lin, Jeremy Wohlwend, Howard Chen, Tao Lei
Authors: Jing Pan, Joshua Shapiro, Jeremy Wohlwend, Kyu J. Han, Tao Lei, Tao Ma
Authors: Jeremy Wohlwend, Ethan R. Elenberg, Samuel Altschul, Shawn Henry, Tao Lei
EMNLP, DeepLo (2019) (Selected for oral presentation)
Authors: Jeremy Wohlwend, Nicholas Matthews, Ivan Itzcovich
Authors: Kyle Swanson, Lili Yu, Christopher Fox, Jeremy Wohlwend, Tao Lei.
ACL, NLP4ConvAI (2019)
Authors: Young Gyu Yoon, Peilun Dai, Jeremy Wohlwend, Jae-Byum Chang,
Adam H. Marblestone, and Edward S. Boyden
Frontiers in Computational Neuroscience (2017)
Author: Jeremy Wohlwend, Supervisors: Adam H. Marblestone, Edward S. Boyden
MIT DSpace (2017)
Authors: Heejung Kim, Joel Z. Leibo, Jeremy Wohlwend, and Tomaso Poggio
MIT CSAIL publications (2012)