Yibo Wen

CS PhD Candidate @ Northwestern

Yibo Wen's profile picture

I am a 3rd year Computer Science Ph.D. candidate at Northwestern University, advised by Han Liu. My research focuses on AI for science, building AI systems that run experiments, learn from results, and accelerate scientific discovery. Previously, I worked on virtual cell models with the Chan Zuckerberg Biohub and on AI-driven drug discovery with AbbVie. I completed my undergraduate studies also at Northwestern, with prior research experience in Computer Graphics at the USC Institute for Creative Technologies and Sony Research.

I am particularly interested in representation learning and post-training methods that work at different scales, from molecules and cells to full experimental systems, and that transfer across scientific domains. Beyond research, I am passionate about tennis, digital design and startups.

News

[2026/09]

I was awarded the AI4Energy Fellowship by the Trienens Institute at Northwestern.

[2026/05]

Two paper were accepted to ICML 2026.

[2026/04]

Two paper were accepted to ACL 2026.

[2025/09]

Our paper AlignAb was accepted to NeurIPS 2025.

[2025/06]

I joined the Chan Zuckerberg Biohub Chicago as a research intern.

[2024/12]

I presented our work on model alignment at AbbVie.

[2024/09]

I started my Ph.D. journey in the Computer Science Department at Northwestern University.

[2022/05]

I joined the Vision & Graphics Lab at the USC Institute for Creative Technologies as a research intern.

Selected Publications

Virtual Cells Need Context, Not Just Scale

Virtual Cells Need Context, Not Just Scale

Payam Dibaeinia, Sudarshan Babu, Mei Knudson, Ali ElSheikh, Yibo Wen, Han Liu, Jason Perera, Aly A. Khan

ICML 2026

arXiv

Genome-Factory: An Integrated Library for Tuning, Deploying, and Interpreting Genomic Models

Genome-Factory: An Integrated Library for Tuning, Deploying, and Interpreting Genomic Models

Weimin Wu*, Xuefeng Song*, Yibo Wen*, Qinjie Lin, Zhihan Zhou, Jerry Yao-Chieh Hu, Zhong Wang, Han Liu

ICML 2026

arXiv

POLO: Preference-Guided Multi-Turn Reinforcement Learning for Lead Optimization

POLO: Preference-Guided Multi-Turn Reinforcement Learning for Lead Optimization

Ziqing Wang*, Yibo Wen*, William Pattie, Xiao Luo, Weimin Wu, Jerry Yao-Chieh Hu, Abhishek Pandey, Han Liu, Kaize Ding

KDD 2026 (Oral)

arXiv

AlignAb: Pareto-Optimal Energy Alignment for Designing Nature-Like Antibodies

AlignAb: Pareto-Optimal Energy Alignment for Designing Nature-Like Antibodies

Yibo Wen, Chenwei Xu, Jerry Yao-Chieh Hu, Han Liu

NeurIPS 2025

arXiv

Cell-JEPA: Latent Representation Learning for Single-Cell Transcriptomics

Cell-JEPA: Latent Representation Learning for Single-Cell Transcriptomics

Ali ElSheikh, Rui-Xi Wang, Weimin Wu, Yibo Wen, Payam Dibaeinia, Jennifer Yuntong Zhang, Jerry Yao-Chieh Hu, Mei Knudson, Sudarshan Babu, Shao-Hua Sun, Aly A. Khan, Han Liu

In Submission

arXiv

Website Design & Development

Website Design & Development

Personal Projects

Personal Projects

Modeling & Rendering

Modeling & Rendering

Student Union @ Shanghai High School

Student Union @ Shanghai High School

Investment Brochure for Xujing District, Shanghai

Investment Brochure for Xujing District, Shanghai

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