Peiqi Wang
PhD Researcher (w. Prof. Polina Golland) at MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)
Cambridge, Massachusetts, United States
Summary
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Senior🎓
Top SchoolPeiqi Wang is a PhD researcher at MIT CSAIL specializing in vision-and-language models for healthcare, with a focus on visual grounding, calibration, and interpretability to make clinical AI more reliable and usable. With 11 years of research and engineering experience, she has bridged academic and industry work—contributing principled data selection methods for instruction tuning at the MIT-IBM Watson AI Lab and studying inference compute allocation for video V+L models during an internship at Meta. Her work blends rigorous probabilistic and Monte Carlo foundations from earlier computational biology and finance projects with large-scale empirical sweeps, yielding both theoretical insight and practical dataset- and compute-aware solutions. Based in Cambridge, she combines strong teaching experience in probability with hands-on systems development (including high-performance C++ and Julia tools) and a track record of producing evaluation-driven, clinically meaningful model improvements.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Massachusetts Institute of TechnologyBachelor's degree, Computer Science, 3.95/4.0, Bachelor's degree, Computer Science, 3.95/4.0 at University of Toronto
English, Chinese
Github Skills (42)
transformers10
pytorch10
language-model10
python10
bam10
machine-learning10
genetic10
deep-learning10
tensorflow10
bert10
natural-language-processing10
transformer10
speech-recognition10
nlp10
jax10
Programming languages (11)
Github contributions (5)
ccmbioinfo/SickKidsSummer
May 2017 - Nov 2021
Contributions:127 pushes, 1 branch in 4 years 7 months
tt6746690/open-instruct
Jul 2023 - Apr 2024
Contributions:303 pushes in 9 months
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