We 1. push the limits of what AI large language models can do for clinical data mining, 2. build clinically actionable risk models, and 3. validate AI risk models clinically with prospective, interventional clinical trials.
Biography
I am a board-certified medical oncologist and physician-scientist on the Thoracic Oncology Service at Memorial Sloan Kettering Cancer Center, where I also lead a research laboratory that studies how to best use AI natural language processing and risk modeling to improve predict patient outcomes. I also serve as Co-Director of MSK’s Thoracic Liquid Biopsy Program, Associate Editor for JCO Precision Oncology, and as a Medical Advisory Board member for OpenEvidence. I aim to use translate advances in AI, real-world data modeling, and genomics to improve cancer detection and treatment.
Distinctions:
K08 Career Development Award (NCI/NIH)
K12 Paul Calabresi Career Development Award for Clinical Oncology
Jill Soffer Young Investigator Award, (ASCO/Conquer Cancer Foundation)
Selected Publications:
Jee J*, Fong C*, Pichotta K*, Tran T*, Luthra A*, Waters M, Fu C, Altoe M, Liu S-Y, Maron S, Ahmed M, Shen R, Kim S, Pirun M, Chatila W, Brannon AR, Mastrogiacomo B, Aprati, TJ, Liu D, Gao JJ, Capelletti M, Pekala K, Loudon L, Perry M, Bandlamudi C, Donoghue M, Martin A, Chang J, Braunstein L, Li A, Pike L, Safonov A, Miller A, Stonestrom A, Sanchez-Vela P, Wilhelm C, Robson M, Scher H, Ladanyi M, Reis-Filho JS, Solit D, Gomez D, Yu H, de Bruijn I, Chakravarty D, Yaeger R, Abida W, Park W, O’Reilly E, Garcia-Aguilad J, Levine R, Socci N, Sanchez Vega F, Carrot-Zhang J, Rudin CM, Berger MF, Shah SP, Stetson PD, Schrag D, Razavi P, Kehl K, Li BT, Riely GJ, Schultz N. Automated real-world data integration improves cancer outcome prediction. Nature. 2024 Dec;636(8043):728-736.
Jee J, Brannon AR, Fong C, Lee A, Pichotta, K, Luthra A, Derkach, A, Diosdado M, Haque M Guo J, Hernandez J, Garg K, Derkach A, Wilhelm C, Singh R, Arcila ME, Pavlakis N, Clarke S, Shah SP, Razavi R, Reis-Filho J, Ladanyi M, Schultz N, Zwicker J, Berger MF, Li, BT, Mantha, S. DNA liquid biopsy-based prediction of cancer-associated thromboembolism. Nature Medicine. 2024 Sep;30(9):2499-2507.
Jee, J, Lebow, ES, Yeh, R, Ras, JP, Namakydoust, A, Paik, P, Chaft, JE, Jayakumaran, G, Brannon, AR, Ryma B, Zehir A, Donoghue M, Schultz N, Chakravarty D, Kundra R, Madupuri R, Murciano-Goroff YR, Tu H, Xu C, Martinez A, Wilhelm C, Galle J, Daly B, Yu HA, Offin M, Hellmann MD, Lito P, Arbour KC, Zauderer MG, Kris MG, Ng KK, Eng J, Preeshagul I, Lai WV, Fiore JJ, Iqbal A, Molena D, Rocco G, Park BJ, Lim LP, Li M, Tong-Li C, De Silva M, Chan DL, Diakos CI, Itchins M, Clarke S, Pavlakis N, Lee A, Rekhtman N, Chang J, Travis WD, Riely GJ, Solit DB, Gonen M, Rusch VW, Rimner A, Gomez D, Drilon A, Scher HI, Shah SP, Berger MF, Arcila ME, Ladanyi M, Levine R, Shen R, Razavi P, Reis-Filho JS, Jones DR, Rudin CM, Isbell JM, Li BT. Overall Survival and Liquid Biopsy-Guided Therapy in Advanced Non-Small Cell Lung Cancer. Nature Medicine. 2022 Nov 10;28(11):2353–2363.
