Weiwei Pan

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Data Science Graduate Program Advisor, Harvard University

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About

I’m the Data Science Graduate Program Advisor at the Institute of Applied Computational Sciences at Harvard University. I’m also a machine learning researcher in the Data to Actionable Knowledge (DtAK) lab. Currently, I am interested in uncertainty estimation for deep models; more broadly, I am interested in building models with guaranteed properties that align with task-specific desiderata, such as interpretability, risk-awareness, satisfaction of domain-specific constraints.

In a former life, I did research in pure math (specifically algebraic topology) and was an Assistant Professor of Mathematics at Saint Mary’s College of California.

Recent Work

  1. Jiayu Yao, Sonali Parbhoo, Weiwei Pan, Finale Doshi-Velez, Policy Optimization with Sparse Global Contrastive Explanations, ICML Workshop on Interpretable Machine Learning in Healthcare, 2022
  2. Mark Penrod, Harrison Termotto, Varshini Reddy, Jiayu Yao, Finale Doshi-Velez, Weiwei Pan, Success of Uncertainty-Aware Deep Models Depends on Data Manifold Geometry, ICML Workshop on Responsible Decision Making in Dynamic Environments, 2022
  3. Xin Zheng, Jiayu Yao, Finale Doshi-Velez, Weiwei Pan, From Soft Trees to Hard Trees: Gains and Losses, ICML Workshop on Responsible Decision Making in Dynamic Environments, 2022
  4. Beau Coker, Wessel P. Bruinsma, David R. Burt, Weiwei Pan, Finale Doshi-Velez, Wide Mean-Field Variational Bayesian Neural Networks Ignore the Data, Artificial Intelligence and Statistics (AIStats), 2022
  5. Beau Coker, Weiwei Pan, Finale Doshi-Velez, Wide Mean-Field Variational Bayesian Neural Networks Ignore the Data, ICML Workshop on Uncertainty and Robustness in Deep Learning, 2021
  6. Anita Mahinpei, Justin Clark, Isaac Lage, Finale Doshi-Velez, Weiwei Pan, The Promises and Pitfalls of Black-box Concept Learning Models, ICML Workshop on Theoretic Foundation, Criticism, and Application Trend of Explainable AI, 2021
  7. Varun Tekur, Javin Pombra, Rose Hong and Weiwei Pan, Safety & Exploration: A Comparative Study of Uses of Uncertainty in Reinforcement Learning, ICML Workshop on Uncertainty and Robustness in Deep Learning, 2021
  8. Jiayu Yao, Emma Brunskill, Weiwei Pan, Susan Murphy, Finale Doshi-Velez, Power-Constrained Bandit, Machine Learning for Health Care (MLHC), 2021
  9. Rylan Schaeffer, Blake Bordelon, Mikail Khona, Weiwei Pan, Ila Fiete, Efficient Online Inference for Nonparametric Mixture Models, Uncertainty in Artificial Intelligence (UAI), 2021

Recent Courses

I teach undergraduate and graduate courses in data science and machine learning. I also supervise undergraduate and graduate research. Students interested in research opportunities should reach out directly to me.

AC297r Computational Science and Engineering Capstone Project, Fall
AM207 Advanced Scientific Computing: Stochastic Optimization Methods, Fall 2019-2021
DSC6232 Machine Learning and Computational Statistics at the University of Rwanda, Summer 2019-2021
Workshop Data Science Workshop at the University of Rwanda, Summer 2019
AC299r Diversity, Inclusion and Leadership in Tech, Fall
AC299r Directed Graduate Research, Spring
AM91r Directed Undergraduate Research, Spring

Outreach & Community Building

Since 2018, I’ve been organizing the data science workshop for the annual Women in Data Science Cambridge (WiDS) conference: WiDS Datathon Workshop 2022. Since 2021, I’ve served as the co-director of the Worldwide WiDS Datathon.

I am the organizer of IACS’s Data Science Pedagogy Winter Workshop for educators of underrepresented college students in data science. I am also the faculty advisor of the IACS Graduate Advisory Committee and the facilitator of the IACS Diversity, Inclusion, Leadership Reading Group.

I’m the faculty mentor of the IACS PhD Working Group, a working group for IACS students who are interested in receiving support and mentorship through their PhD application process. Sign up for the 2022 PhD Working Group. Recently, I have also begun serving as a mentor in the Career Development program at DataPoint Armenia.

Contact

Fall 2022 Course Advising Hours (Open to G2s Only)

Fall 2022 Course Advising Hours (Open to All)

Fall 2022 Open Office Hours

weiweipan (at) g (dot) harvard (dot) edu