Kan Chen

Kan Chen

Postdoctoral Research Fellow at Harvard and Columbia/PhD from UPenn

Selected Conference presentations

“The success of your presentation will be judged not by the knowledge you send but by what the listener receives.”

— Lilly Walters
  • 2025 — American Causal Inference Conference (ACIC): Poster Presentation. Titles: “The Blessing of Multiple Mediators: Taming Unmeasured Confounding Bias via Factor Analysis.” and “Sensitivity Analysis for Attributable Effects in Case2 Studies.”
  • 2024 — Joint Statistical Meetings (JSM), Section on Health Policy Statistics: Oral Presentation. Title: “A Differential Effect Approach to Partial Identification of Treatment Effects.”
  • 2023 — Joint Statistical Meetings (JSM), Section on Statistics in Epidemiology: Oral Presentation. Title: “Using Case Description Information to Reduce Sensitivity to Bias for the Attributable Fraction Among the Exposed.”
  • 2023 — New England Statistics Symposium (NESS): Oral Presentation. Title: “A Differential Effect Approach to Partial Identification of Treatment Effects.”
  • 2023 — Eastern North American Region (ENAR): Poster Presentation. Title: “Using Case Description Information to Reduce Sensitivity to Bias for the Attributable Fraction Among the Exposed.”
  • 2022 — International Chinese Statistical Association (ICSA): Oral Presentation. Title: “Covariate-Balancing-Aware Interpretable Deep Learning Models for Treatment Effect Estimation.”
  • 2021 — European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD): Poster Presentation. Title: “Asymptotic Analysis of Sparse Group LASSO via Approximate Message Passing Algorithm.”
  • 2021 — ICLR Distributed and Private Machine Learning Workshop (DPML): Poster Presentation. Title: “Distributed Gaussian Differential Privacy Via Shuffling.”
  • 2020 — International Conference on Artificial Intelligence and Statistics (AISTATS): Poster Presentation. Title: “A Dynamical View on Optimization Algorithms of Overparameterized Neural Networks.”
  • 2020 — NeurIPS Optimization for Machine Learning Workshop (OPT): Poster Presentation. Title: “Asymptotic Analysis of Sparse Group LASSO via Approximate Message Passing Algorithm.”
  • 2020 — Joint Statistical Meetings (JSM), Section on Statistical Learning and Data Science: Oral Presentation. Title: “Asymptotic Analysis of Sparse Group LASSO via Approximate Message Passing Algorithm.”