I'm a PhD student in EECS at MIT, advised by Prof. Regina Barzilay. I obtained a BSc in Mathematics and Chemistry from Duke in 2019. My undergraduate research was in computational cancer metabolism and focused on understanding the one-carbon (SGOC) metabolic network and the effect of dietary restriction. My work at MIT has included developing computer vision models for cancer risk assessemnt. My current interests include therapeutic discovery through the application of AI to metabolism and biocatalysis.
Most recent publications on Google Scholar.
‡ indicates equal contribution.
CLIPZyme: Reaction-Conditioned Virtual Screening of Enzymes
Peter G. Mikhael‡, Itamar Chinn ‡, Regina Barzilay
International Conference on Machine Learning. 2024.
Distinct chemical environments in biomolecular condensates
Henry R. Kilgore‡, Peter G. Mikhael‡, Kalon J. Overholt‡, Ann Boija, Nancy M. Hannett, Catherine Van Dongen, Tong Ihn Lee, Young-Tae Chang, Regina Barzilay, Richard A. Young
Nature Chemical Biology. 2023.
Sybil: A validated deep learning model to predict future lung cancer risk from a single low-dose chest computed tomography
Peter G. Mikhael‡, Jeremy Wohlwend‡, Adam Yala, Ludvig Karstens, Justin Xiang, Angelo K. Takigami, Patrick P. Bourgouin, PuiYee Chan, Sofiane Mrah, Wael Amayri, Yu-Hsiang Juan, Cheng-Ta Yang, Yung-Liang Wan, Gigin Lin, Lecia V. Sequist, Florian J. Fintelmann, Regina Barzilay
Journal of Clinical Oncology. 2023.
Optimizing risk-based breast cancer screening policies with reinforcement learning
Adam Yala, Peter G. Mikhael, Constance Lehman, Gign Lin, Fredrik Strand, Yung-Liang Wang, Kevin Hughes, Siddharth Satuluru, Thomas Kim, Imon Banerjee, Judy Gichoya, Hari Trivedi, Regina Barzilay
Nature Medicine. 2022.
Toward robust mammography-based models for breast cancer risk
Adam Yala, Peter G. Mikhael, Fredrik Strand, Gigin Lin, Kevin Smith, Yung-Liang Wan, Leslie Lamb, Kevin Hughes, Constance Lehman, Regina Barzilay
Science Translational Medicine. 2021.
Nutrient availability shapes methionine metabolism in p16/MTAP-deleted cells
Sydney M. Sanderson, Peter G. Mikhael, Vijyendra Ramesh, Ziwei Dai, Jason W. Locasale
Science Advances. 2019.
Dietary methionine influences therapy in mouse cancer models and alters human metabolism
Xia Gao, Sydney M. Sanderson, Ziwei Dai, Michael A. Reid, Daniel E. Cooper, Min Lu, John P. Richie Jr, Amy Ciccarella, Ana Calcagnotto, Peter G. Mikhael, Samantha J. Mentch, Juan Liu, Gene Ables, David G. Kirsch, David S. Hsu, Sailendra N. Nichenametla, Jason W. Locasale
Nature. 2019.
Chemical codes promote selective compartmentalization of proteins
Henry Kilgore‡, Itamar Chinn ‡, Peter G. Mikhael‡, Ilan Mitnikov‡, Catherine Van Dongen, Guy Zylberberg, Lena Afeyan, Salman Banani, Susana Wilson-Hawken, Tony Lee, Regina Barzilay, Richard Young
bioRxiv. 2024.
CLIPZyme: Reaction-Conditioned Virtual Screening of Enzymes
Peter G. Mikhael‡, Itamar Chinn ‡, Regina Barzilay
International Conference on Machine Learning. 2024.
Role of sex in lung cancer risk prediction based on single low-dose chest computed tomography
Judit Simon ‡, Peter G. Mikhael‡, Ismail Tahir, Alexander Graur, Stefan Ringer, Amanda Fata, Yang Chi-Fu Jeffrey, Jo-Anne Shepard, Francine Jacobson, Regina Barzilay, Lecia V. Sequist, Lydia E. Pace, Florian J. Fintelmann
Nature Scientific Reports. 2023.
Distinct chemical environments in biomolecular condensates
Henry R. Kilgore‡, Peter G. Mikhael‡, Kalon J. Overholt‡, Ann Boija, Nancy M. Hannett, Catherine Van Dongen, Tong Ihn Lee, Young-Tae Chang, Regina Barzilay, Richard A. Young
Nature Chemical Biology. 2023.
Artificial Intelligence and Machine Learning in Lung Cancer Screening
Scott J. Adams, Peter G. Mikhael, Jeremy Wohlwend, Regina Barzila, yLecia V. Sequist, Florian J. Fintelmann
Thoracic Surgery Clinics. 2023.
Sybil: A validated deep learning model to predict future lung cancer risk from a single low-dose chest computed tomography
Peter G. Mikhael‡, Jeremy Wohlwend‡, Adam Yala, Ludvig Karstens, Justin Xiang, Angelo K. Takigami, Patrick P. Bourgouin, PuiYee Chan, Sofiane Mrah, Wael Amayri, Yu-Hsiang Juan, Cheng-Ta Yang, Yung-Liang Wan, Gigin Lin, Lecia V. Sequist, Florian J. Fintelmann, Regina Barzilay
Journal of Clinical Oncology. 2023.
Optimizing risk-based breast cancer screening policies with reinforcement learning
Adam Yala, Peter G. Mikhael, Constance Lehman, Gign Lin, Fredrik Strand, Yung-Liang Wang, Kevin Hughes, Siddharth Satuluru, Thomas Kim, Imon Banerjee, Judy Gichoya, Hari Trivedi, Regina Barzilay
Nature Medicine. 2022.
Multi-Institutional Validation of a Mammography-Based Breast Cancer Risk Model
Adam Yala, Peter G. Mikhael, Fredrik Strand, Gigin Lin, Siddharth Satuluru, Thomas Kim, Imon Banerjee, Judy Gichoya, Hari Trivedi, Constance D. Lehman, Kevin Hughes, David J. Sheedy, Lisa M. Matthis, Bipin Karunakaran, Karen E. Hegarty, Silvia Sabino, Thiago B. Silva, Maria C. Evangelista, Renato F. Caron, Bruno Souza, Edmundo C. Mauad, Tal Patalon, Sharon Handelman-Gotlib, Michal Guindy, Regina Barzilay
Journal of Clinical Oncology. 2021.
Toward robust mammography-based models for breast cancer risk
Adam Yala, Peter G. Mikhael, Fredrik Strand, Gigin Lin, Kevin Smith, Yung-Liang Wan, Leslie Lamb, Kevin Hughes, Constance Lehman, Regina Barzilay
Science Translational Medicine. 2021.
Predictive targeting of mitochondrial metabolism in Acute Myeloid Leukemia patients with a lipoic acid analog
Michael A Reid, Shree Bose, Kristin M Pladna, Rebecca Anderson, Peter G. Mikhael, Zhengtao Xiao, Ziwei Dai, Shiyu Liu, Juan Liu, Timothy Pardee, Jason W. Locasale
medRxiv. 2021.
Nutrient availability shapes methionine metabolism in p16/MTAP-deleted cells
Sydney M. Sanderson, Peter G. Mikhael, Vijyendra Ramesh, Ziwei Dai, Jason W. Locasale
Science Advances. 2019.
Dietary methionine influences therapy in mouse cancer models and alters human metabolism
Xia Gao, Sydney M. Sanderson, Ziwei Dai, Michael A. Reid, Daniel E. Cooper, Min Lu, John P. Richie Jr, Amy Ciccarella, Ana Calcagnotto, Peter G. Mikhael, Samantha J. Mentch, Juan Liu, Gene Ables, David G. Kirsch, David S. Hsu, Sailendra N. Nichenametla, Jason W. Locasale
Nature. 2019.
Full Resume in PDF.