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Yuexing Hao

Ph.D. Candidate
Cornell University | MIT | Mayo Clinic
yh727@cornell.edu


About Me

I am currently interning at Google Research (Health AI team) in summer 2025. I am an IvyPlus Exchange Ph.D. Scholar at MIT EECS& LIDS (2024-26) and am pursuing my Ph.D. at Cornell University (2022-26). I am also affiliated with the Mayo Clinic as a Ph.D. Research Fellow. My name means “happy walking is good”, and the pronunciation is “You-Sing.”

I hold Computer Science degrees from Rutgers University (B.A., 2017-20) and Tufts University (M.S, 2020-22). My Ph.D. focuses mainly on AI-based Healthcare Technology, Human-AI interaction, and Healthcare Intelligence. Presently, I am based in the beautiful Mountain View, CA. In my spare time, I love to do many outdoor activities, such as ice hockey, squash, and water skiing.

I founded a (semi-successful) AI for medication management company (Hug Medical) in 2022.

My old personal website with some interesting posts. Stop using it from Aug 2022.

Research Interests

News

  • [July. 2025] I will talk about my new paper MedPAIR at Google Research (Jul 1st, 2025), Alphabet Verily Health (Jul 2nd, 2025), and Berkeley Agentic AI Summit (Aug 2nd, 2025) (Slide).
  • [July. 2025] We received $199,000 continued funding from HPI-MIT Designing for Sustainability Research Program (PI: Prof. Ariel Stern and Prof. Marzyeh) for our proposal "Improving Human–AI System Sustainability in Health Via Aligned Relevance and Evaluation".
  • [May. 2025] My thesis has been honored with an $11,000 grant from the 2025-26 President’s Council of Cornell Women (PCCW) Frank H.T. Rhodes Leadership Grant and Mission Grant and $2,000 from WG-USA Small Grant Initiative.
  • [May. 2025] My thesis is awarded a $1,000 seed grant from the 2025-26 Cornell University Center for the Study of Inequality Graduate Student Research Competition.
  • [Mar. 2025] I will speak at MIT AI For Society seminar on (March 4th) [slide], HPI-MIT Designing for Sustainability Workshop (March 25th), and Science in the News - Harvard University (April 8th).
    • Show More
  • [Feb. 2025] I passed my A exam and became a Ph.D. candidate! Here is the video.
  • [Feb. 2025] I am featured in the Cornell Graduate School's Student Spotlight.
  • [Dec. 2024] My doctoral thesis, "Objective Approaches in a Subjective Medical World," is awarded $10k from 2024 American Psychological Foundation (APF) K. Anders Ericsson Dissertation Research Grant.
  • [Dec. 2024] I will be joining the Google Health AI team (Mountain View) as a Research Intern in Summer 2025!
  • [Nov. 2024] I will give a research seminar at MIT Laboratory for Information and Decision Systems on November 20th.
  • [Oct. 2024] I will give two research talks: one at MIT ML Tea Seminar on October 21st, 4-5 pm EST in Room G882, Hewlett Room; and another at Prof. Gioele Zardini's lab on October 17th, 11am-12pm EST in 32-D677. Let me know if you'd like the Zoom link! (I promise the two talks will cover different topics—one on AI-based healthcare systems and the other on data collection automation in the wild. Can you guess which is which?)
  • [Sep. 2024] I am proud to share that our latest paper working with the Mayo Clinic Radiation Oncology department patient-portal messaging paper is on arXiv: Retrospective Comparative Analysis of Prostate Cancer In-Basket Messages: Responses from Closed-Domain LLM vs. Clinical Teams. This study introduces a novel and rigorous approach to comparing messages generated by LLMs with those from clinical care teams. The results are (expected to be) surprising—check out the paper to find out more!
  • [Sep. 2024] I am honored to receive the North America Women in Tech Most Disruptive Award powered by Amazon .
  • [Aug. 2024] I’ve been nominated by Cornell University for the 2024 Apple Scholars in AI/ML PhD Fellowship! Only three Ph.D. students were nominated across the entire university. Nomination seals the validation :)))))
  • [Aug. 2024] Our AIoT-based Hug System received first place in the IEEE Student Engineering Team Challenge 2024 and won $400 with my colleague Dr. Ryan Ries.
  • [June. 2024] My two poster papers are accepted at ACM CSCW 2024' Computer-Supported Cooperative Work and Social Computing at San José, Costa Rica.
  • [June. 2024] I will present my thesis at the Conference on Health, Inference, and Learning (CHIL) doctoral consortium on June 28th at Cornell Tech, NYC.
  • [June. 2024] I am honored to be selected for the 2024-25 IvyPlus Exchange Scholar program and to receive a full fellowship to join MIT's Laboratory for Information & Decision Systems (LIDS). I will be working with Dr. Marzyeh Ghassemi's Healthy ML Group in Boston.
  • [May. 2024] I am excited to become a program committee (a.k.a. registration co-chair) for ACM Conference on Fairness, Accountability, and Transparency (FAccT) 2024 at Brazil.
  • [May. 2024] I will orally present at the 12th International Shared Decision Making Conference on my thesis research "i-SDM: A Patient-Centered AI Clinical Shared Decision-Making System for Older Adult Cancer Patients".
  • [May. 2024] I will be interning as an AI Research Scientist at Mayo Clinic from May to August 2024, focusing on Shared Decision-Making with LLM to enhance patient-centered health outcomes.
  • [Feb. 2024] I will present our AAAI poster paper in Vancouver Convention Center. Our booth number is 626. Welcome to talk with me!
  • [Dec. 2023] I will talk at Google Computer Science Research Mentorship Program (CSRMP) about 'Explain and Enhance: Patient-Centered Learning With LLM from the Public Online Cancer Forum.'
  • [Nov. 2023] I will talk at Stanford HCI group about 'AI in Healthcare for Community-Dwelling Older Adults.' Recording
  • [Nov. 2023] I am super excited to be selected as the 2023-24 OneReach.ai Academic Fellow, with my proposal 'Explain and Enhance: Patient-Centered Learning With LLM from the Public Online Cancer Forum.'
  • [Feb. 2024] Our poster paper "Digital Twin-Driven Teat Localization and Shape Identification for Dairy Cow" has been accepted to AAAI 24' student poster program, with amazing coauthors Aarushi, Yuting, Tiancheng, Dr. Matthias Wieland, Dr. Parminder Basran, and Dr. Ken Birman!
  • [Feb. 2024] I will become a keynote speaker at 2024 Greg Smith Palliative Care Summit, Hyde Park, NY, discussing 'Advancing Palliative Care with AI.' #AIinHealthcare.
  • [Oct. 2023] Our poster paper about shared decision-making (SDM) for aging populations in chronic disease is accepted to CSCW 2023.
  • [Sep. 2023] I was accepted to 2023 Google CSRMP Fellow :))) Excited about this opportunity!
  • [Aug. 2023] Our department graduate student association received $2500 service funding for Fall 2023!
  • [Jun. 2023] I was accepted to 2023 WHO/Cochrane/Cornell University Summer Institute and received fellowship from Human Centered Design Department ($1500).
  • [Apr. 2023] I received fundings from Cornell Institute for Healthy Futures (CIHF) Research Grant ($500) and will be in Mexico City for EDRA 2023!

    • Selected Awards [Show All Awards, ~$140k]

    First Author Publications

    1. NPJ
      Large Language Model Integrations in Cancer Decision-making: A Systematic Review and Meta-analysis
      Yuexing Hao, Zhiwen Qiu, Dr. Jason Holmes, Prof. Corinna E. Löckenhoff, Prof. Wei Liu, Prof. Marzyeh Ghassemi, Prof. Saleh Kalantari.
      Nature Digital Medicine (2025)
      PDF

    2. NeurIPS
      MedPAIR: Measuring Physicians and AI Relevance Alignment in Medical Question Answering
      Yuexing Hao, Kumail Alhamoud, Hyewon Jeong, Haoran Zhang, Isha Puri, Prof. Philip Torr, Dr. Mike Schaekermann, Prof. Ariel Dora Stern, Prof. Marzyeh Ghassemi.
      Under Review
      PDF Product Page

    3. Preprint
      The Role of Computing Resources in Publishing Foundation Model Research
      Yuexing Hao *, Yue Huang *, Haoran Zhang, Chenyang Zhao, Zhenwen Liang, Prof. Paul Pu Liang, Prof. Yue Zhao, Prof. Lichao Sun, Prof. Saleh Kalantari, Prof. Xiangliang Zhang, Prof. Marzyeh Ghassemi.
      Under Review
      PDF Product Page * equal contributions

    4. Preprint
      Research through Evaluation (RtE): Iteratively Developing Evaluations for Large Language Model-Generated Outputs in Healthcare
      Yuexing Hao, Dr. Jason Holmes, Dr. Jared Hobson, Dr. Alexandra Bennett, Dr. Elizabeth McKone, Dr. Daniel K. Ebner, Dr. David M. Routman, Dr. Satomi Shiraishi, Dr. Samir H. Patel, Dr. Nathan Y. Yu, Dr. Chris Hallemeier, Brooke E. Ball, Dr. Saleh Kalantari, Dr. Marzyeh Ghassemi, Dr. Mark Waddle, Dr. Wei Liu.
      Under Review
      PDF

    5. Preprint
      Drawing Borderline for LLM Applications in Healthcare: Developing an Expert-in-the-Loop LLM-Powered Chatbot for Prostate Cancer Patients
      Yuexing Hao, Dr. Jason Holmes, Dr. Mark Waddle, Dr. Nathan Yu, Dr. Kristen Vickers, Heather Preston, Dr. Drew Margolin, Dr. Corinna Löckenhoff, Dr. Aditya Vashistha, Dr. Marzyeh Ghassemi, Dr. Saleh Kalantari, Dr. Wei Liu.
      Preprint
      PDF

    6. MCP
      Retrospective Comparative Analysis of Prostate Cancer In-Basket Messages: Responses from Closed-Domain LLM vs. Clinical Teams
      Yuexing Hao, Dr. Jason Holmes, Dr. Jared Hobson, Dr. Alexandra Bennett, Dr. Elizabeth McKone, Dr. Daniel K. Ebner, Dr. David M. Routman, Dr. Satomi Shiraishi, Dr. Samir H. Patel, Dr. Nathan Y. Yu, Dr. Chris Hallemeier, Brooke E. Ball, Dr. Mark Waddle, Dr. Wei Liu.
      Mayo Clinic Proceedings Digital Health 2025
      PDF

    7. CHI
      Advancing Patient-Centered Shared Decision-Making with AI Systems for Older Adult Cancer Patients
      Yuexing Hao, Zeyu Liu, Robert N. Riter, Dr. Saleh Kalantari.
      2024 CHI Conference on Human Factors in Computing Systems (CHI), 2024.
      PDF News Videos In-Person Oral Presentation

    8. IntelliSys
      Dynamic Strategies and Opponent Hands Estimation for Reinforcement Learning in Gin Rummy Game
      Yuexing Hao, Mark Vaysiberg.
      Intelligent Systems and Applications (IntelliSys), 2021.
      PDF Virtual Presentation

    Other Papers

    1. CHI
      Harnessing Biomedical Literature to Calibrate Clinicians’ Trust in AI Decision Support Systems
      Dr. Qian Yang, Yuexing Hao*, Kexin Quan*, Stephen Yang*, Yiran Zhao*, Dr. Volodymyr Kuleshov, Dr. Fei Wang.
      2023 CHI Conference on Human Factors in Computing Systems (CHI), 2023.
      PDF News Project Page * equal contributions

    2. Preprint
      Codeside Manner: Evaluating Gender Differences in GPT-4 for Medical Applications
      Eileen Pan, Abinitha Gourabathina, Walter Gerych, Yuexing Hao*, Dr. Marzyeh Ghassemi
      Under Review
      PDF

    3. Preprint
      MedGUIDE: Benchmarking Clinical Decision-Making in Large Language Models
      Xiaomin Li, Mingye Gao, Yuexing Hao, Taoran Li, Guangya Wan, Zihan Wang, Yijun Wang.
      Under Review
      PDF Project Page

    4. Preprint
      The MedPerturb Dataset: What Non-Content Perturbations Reveal About Human and Clinical LLM Decision Making
      Abinitha Gourabathina, Yuexing Hao, Walter Gerych, Dr. Marzyeh Ghassemi.
      Under Review
      PDF News Project Page

    5. Preprint
      On the trustworthiness of generative foundation models: Guideline, assessment, and perspective
      Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Yujun Zhou, ... Yuexing Hao, ... Bo Li, Dawn Song, Xiangliang Zhang.
      Under Review
      PDF Project Page

    Poster/Workshop Papers

    1. CHI_EA
      Personalized AIoT-Based Medication/Dietary Supplement Management Intervention
      Yuexing Hao
      Conference on Human Factors in Computing Systems (CHI) Student Research Competition, 2025.
      PDF News

    2. AAAI
      AI-Based Teat Shape and Skin Condition Prediction for Dairy Management
      Yuexing Hao*, Tiancheng Yuan *, Yuting Yang *, Aarushi Gupta, Dr. Matthias Wieland, Dr. Ken Birman, Dr. Parminder S. Basran.
      The 3rd Deployable AI Workshop at AAAI-2025 (DAI), 2025.
      PDF Project Page * equal contributions

    3. CSCW
      Outcome First or Overview First? Optimizing Patient-Oriented Framework for Evidence-Based Healthcare Treatment Selections with XAI Tools
      Yuexing Hao
      Companion of the Computer-Supported Cooperative Work and Social Computing (CSCW), 2024.
      PDF Poster Presentation

    4. CSCW
      The i-SDM Framework: Developing AI-based Tools in Shared Decision-Making for Cancer Treatment with Clinical Professionals
      Yuexing Hao, Dr. Corinna Loeckenhoff, Dr. Harry Lee, Dr. Jessica Zwerling, Dr. Saleh Kalantari.
      Companion of the Computer-Supported Cooperative Work and Social Computing (CSCW), 2024.
      PDF Poster Presentation

    5. AAAI
      Digital Twin-Driven Teat Localization and Shape Identification for Dairy Cow
      Aarushi Gupta *, Yuexing Hao*, Yuting Yang *, Tiancheng Yuan *, Dr. Matthias Wieland, Dr. Parminder S. Basran, Dr. Ken Birman.
      The 38th AAAI Conference on Artificial Intelligence (AAAI), 2024.
      PDF Project Page * equal contributions

    6. CSCW
      An Exploratory Study of Shared Decision-Making (SDM) for Older Adult Patients with Chronic Diseases
      Yuexing Hao, Zeyu Liu, Dr. Monika Safford, Dr. Rulla Tamimi, Dr. Saleh Kalantari.
      26th ACM Conference On Computer-Supported Cooperative Work And Social Computing (CSCW), 2023.
      PDF News In-Person Oral Presentation

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    Selected Talks


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