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Hi, I am a Ph.D. student at Harvard-MGB AIM, jointly with Maastricht University, under the guidance of Hugo Aerts, Ph.D. and Danielle S. Bitterman, M.D. I am the recipient of the 2024 Google PhD Fellowship in Natural Language Processing, mentored by Asma Ghandeharioun, Ph.D. I am also affiliated with the Boston Children's Hospital Computational Health Informatics Program (CHIP), where we have the privilege of collaborating closely with Guergana Savova, Ph.D. and Tim Miller, Ph.D.
I am deeply interested in the knowledge representation and features of large language models, particularly their ability to translate across modalities. My goal is to develop more interpretable AI systems for critical domains such as healthcare. Additionally, I am passionate about enhancing patient communication and establishing robust safety evaluation methods for high-stakes tasks. It is crucial to assess the impact of AI on all healthcare stakeholdersβincluding patients, providers, and others.
My research has been featured in major media outlets such as Bloomberg, The New York Times, NBC, and New Scientist, among others. It has also been highlighted by government agencies including the FDA, NCI, and NIH, and has been cited in U.S. congressional hearings.
During COVID-19, I completed with M.S. in Computational Linguistics from Brandeis University, where I was fortunate to be advised by Professor Nianwen Xue Ph.D. where I fully explored my interests and met many wonderful people and friends. Before Brandeis, I spent 4 years as an undergraduate in Math, Japanese and Linguistics at St. Olaf College, really enjoyed my liberal arts education, click here if you want to learn more about my undergrad I'm a button.
During my free time, I enjoy doing dragonboat and kyudo πΉ.
If you want to work with me or my group, please email bittermanlab@gmail.com instead!