Shijie Tang
Incoming Google Software Engineer / CMU Computational Biology / ZJU-UoE Bioinformatics
Hi, welcome to my personal website!
I am Shijie Tang, an incoming Software Engineer at Google and recent CMU M.S. graduate. This site shares a high-level view of my activities across software engineering, machine learning, and computational biology.
Joining in July 2026 to work on AI platform for Android.
Graduated in May 2026.
Interested in reliable AI tools, biological sequence design, and visual storytelling.
About
I recently graduated from Carnegie Mellon University in May 2026 with an M.S. in Computational Biology, where I worked with Prof. Carl Kingsford and Prof. Wei Wu. I will join Google as a Software Engineer in July 2026.
My work sits at the intersection of production software engineering, machine learning, and computational biology. I am especially interested in practical AI systems, reliable tools, and biological data analysis.
Before joining Google full-time, I was a Software Engineering Intern at Google, where I worked on AI-assisted accessibility tooling. My research background includes machine learning methods for language and biological sequence problems.
I received my B.S. in Bioinformatics from the ZJU-University of Edinburgh Joint Institute in 2024. During my undergraduate studies, I worked with Prof. Chaochen Wang in his lab on bioinformatics and cancer genomics research, which led to a co-first author publication in Gut.
For a detailed CV or additional background, please contact me directly by email.
Experience Summary
Software Engineering
I have worked on AI-assisted engineering and accessibility tooling, with an interest in systems that are useful in real workflows.
Machine Learning Research
At CMU, I worked on machine learning research related to robustness and biological sequence design.
Computational Biology
My research background includes computational biology, genomics, protein modeling, and biological sequence analysis.
News
- [July 2026] Joining Google as a Software Engineer
- [May 2026] Graduated from Carnegie Mellon University with an M.S. in Computational Biology
- [Aug 2025] Started new research project on shortcut learning in NLP with Prof. Carl Kingsford at CMU
- [Jun-Aug 2025] Software Engineering Intern at Google, working on AI-assisted accessibility tooling
- [May 2025] Contributed to the ARCADE paper on controllable mRNA sequence design
- [Aug 2024] Co-first author paper published in Gut: MED12 loss sensitizes pancreatic cancer to immunotherapy
Selected Publications
Models Know Their Shortcuts: Deployment-Time Shortcut Mitigation
Li J, Tang S, Kaynar G, Du S, Kingsford C. arXiv:2604.12277, 2026. [Paper]
CodonRL: Multi-Objective Codon Sequence Optimization Using Demonstration-Guided Reinforcement Learning
Du S, Kaynar G, Li J, You Z, Tang S, Kingsford C. bioRxiv, 2026. [Paper]
ARCADE: Controllable Codon Design from Foundation Models via Activation Engineering
Li J, Lai HS, Liang L, Du S, Tang S, Kingsford C. bioRxiv, 2025. [Paper]
MED12 loss activates endogenous retroelements to sensitise immunotherapy in pancreatic cancer
Tang Y*, Tang S*, Yang W, et al. Gut, 2024. [DOI] (*co-first author)
Personal Interests
Outside of work, I enjoy astrophotography and travel photography with my Canon G7X Mark III.