Alex Xijie Lu

Senior Researcher, Microsoft Research

Joined

May 2021

Names

Alex Xijie Lu (Preferred)

Emails

****@cs.toronto.edu (Confirmed)

****@gmail.com (Confirmed)

****@microsoft.com (Confirmed)

Personal Links

Career & Education History

Senior Researcher

Microsoft Research (microsoft.com)

2021 – Present

PhD student

Department of Computer Science, University of Toronto (cs.toronto.edu)

2015 – 2021

Advisors, Relations & Conflicts

PhD Advisor

Alan Moses

2015 – 2021

Expertise

Computational Biology

Present

Representation Learning

Present

Computer Vision

Present

Out-of-sample Generalization

Present

Publications

Bridging the "Predictability Desert": A Probabilistic Bias Correction Framework for AI and Dynamical Subseasonal Forecasts
Hannah Guan, Soukayna Mouatadid, Paulo Orenstein, Judah Cohen, Haiyu Dong, Genevieve Elaine Flaspohler, Alex Xijie Lu, Jonathan A. Weyn, Lester Mackey
- Calibration for Modern AI @ AISTATS 2026
- Readers: Everyone
Bridging the "Predictability Desert": A Probabilistic Bias Correction Framework for AI and Dynamical Subseasonal Forecasts
Hannah Guan, Soukayna Mouatadid, Paulo Orenstein, Judah Cohen, Zekun Ni, Haiyu Dong, Genevieve Elaine Flaspohler, Alex Xijie Lu, Jonathan A. Weyn, Lester Mackey
- ML4RS @ ICLR 2026 (Main) Oral
- Readers: Everyone
Predicting evolutionary rate as a pretraining task improves genome language models
Micaela Elisa Consens, Kevin K Yang, James Brian Hall, BO WANG, Lorin Crawford, Alan M Moses, Alex Xijie Lu
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
scGeneScope: A Treatment-Matched Single Cell Imaging and Transcriptomics Dataset and Benchmark for Treatment Response Modeling
Joel Dapello, Marcel Nassar, Ridvan Eksi, Ban Wang, Jules Gagnon-Marchand, Kenneth T Gao, Akram Baharlouei, Kyra Thrush-Evensen, Nina Riehs, Amy F Peterson, Aniket Tolpadi, Abhejit Rajagopal, Henry E Miller, Ashley Mae Conard, David Alvarez-Melis, Rory Stark, Simone Bianco, Morgan Levine, Ava P Amini, Alex Xijie Lu et al. (4 additional authors not shown)
- NeurIPS 2025 Datasets and Benchmarks Track poster
- Readers: Everyone
Feature Reuse and Scaling: Understanding Transfer Learning with Protein Language Models
Francesca-Zhoufan Li, Ava P Amini, Yisong Yue, Kevin K Yang, Alex Xijie Lu
- ICML 2024 Poster
- Readers: Everyone
Protein generation with evolutionary diffusion: sequence is all you need
Sarah Alamdari, Nitya Thakkar, Rianne van den Berg, Alex Lu, Nicolo Fusi, Ava Amini, Kevin Yang
- GenBio@NeurIPS2023 Poster
- Readers: Everyone
ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition
Aashaka Desai, Lauren Berger, Fyodor O Minakov, Vanessa Milan, Chinmay Singh, Kriston L Pumphrey, Richard Ladner, Hal Daumé III, Alex Xijie Lu, Naomi Caselli, Danielle Bragg
- NeurIPS 2023 Datasets and Benchmarks Poster
- Readers: Everyone
Protein structure generation via folding diffusion
Kevin Eric Wu, Kevin K Yang, Rianne van den Berg, James Y. Zou, Alex Xijie Lu, Ava P Amini
- 01 Feb 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Domain adaptation using optimal transport for invariant learning using histopathology datasets
Kianoush Falahkheirkhah, Alex Xijie Lu, David Alvarez-Melis, Grace Huynh
- Published: 04 Apr 2023, Last Modified: 15 Feb 2026
- MIDL 2023 Poster
- Readers: Everyone
Convolutions are competitive with transformers for protein sequence pretraining
Kevin K Yang, Alex Xijie Lu, Nicolo Fusi
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone

View all 12 publications

Co-Authors

View all 59 co-authors