I am Xiaoyang Hou (侯晓阳 in Chinese), a PhD candidate at École Polytechnique Fédérale de Lausanne (EPFL), co-supervised by Patrick Barth and Pierre Vandergheynst. I explore deep learning for biomolecular design and discovery.

My research focuses on unified biomolecule design methods and foundation models. I develop machine learning methods at the intersection of biology and chemistry, with a particular interest in computational drug design and discovery.

I welcome opportunities for collaboration and academic discussion. Please feel free to reach out if you are interested in my research or have questions to explore.

* Equal contribution.

Education

Oct 2026 — Present

École Polytechnique Fédérale de Lausanne (EPFL)

Laboratory of Protein and Cell Engineering

PhD Candidate

University of Chinese Academy of Sciences

Sep 2022 — Jun 2025

Institute of Computing Technology, Chinese Academy of Sciences

Computer Science and Technology

Master of Engineering

Shandong University

Sep 2018 — Jun 2022

Shandong University

Computer Science and Technology

Bachelor of Engineering

Internships

Mar 2026 — Sep 2026

EPFL LPCE Lab ↗

Research Intern

Led by Prof. Patrick Barth

Lausanne, Switzerland

Mar 2025 — Sep 2025

BioGeometry ↗

Research Intern

Supervised by Dr. Chence Shi and Prof. Jian Tang

Beijing, China

May 2022 — Aug 2022

Manycore Tech Inc. ↗

Research Intern

Supervised by Prof. Zihan Zhou

Hangzhou, China

Honors & awards

  • 2025Outstanding Student, State Key Laboratory of Processor Chips, ICT
  • 2023, 2024Outstanding Student Scholarship, ICT
  • 2021Finalist Award, Mathematical Contest in Modeling (MCM)
  • 2021Innovation Scholarship, Shandong University
  • 2020Scholarship of Academic Excellence, Shandong University