Lida Wang

Bio

I am a Postdoctoral Research Fellow at the Dana-Farber Cancer Institute and Harvard Medical School, working with Prof. Alexander Gusev. My research focuses on statistical genetics, functional genomics, and data science.

I completed my Ph.D. in Biostatistics at Penn State University, advised by Prof. Dajiang Liu and closely collaborated with Prof. Laura Carrel. In the summer of 2023, I interned as a Research Data Scientist at Calico, a subsidiary of Alphabet, where I worked with Dr. Madeleine Cule and her team.

Prior to my Ph.D., I earned a master’s degree in Biostatistics from Georgetown University, where I was advised by Prof. Ao Yuan and Ming Tan. I got my bachelor’s degree in Mathematics and Applied Mathematics from the Southern University of Science and Technology, where I was mentored by Prof. Guoliang Tian.

My CV is here.

Research Interests

• Developing models to characterize eQTL architecture at single-cell resolution, enabling a deeper understanding of cell-type/state–specific gene regulation.
• Leveraging genetic and electronic health record (EHR) data with statistical methods and LLM to predict disease progression.

Projects

Selected Publication

• [2025] Wang, L.†, Gao, S.†, et al. Integrating axis quantitative trait loci looks beyond cell types and offers insights into brain-related traits. Nat Commun 16, 10606 (2025)
• [2025] Wang, L.†, Markus, H.†, et al. An atlas of single-cell eQTLs dissects autoimmune disease genes and identifies novel drug classes for treatment. Cell Genomics (2025)
• [2024] Tan, Y., Wang, L., Zhang, H. et al. Interpretable GWAS by linking clinical phenotypes to quantifiable immune repertoire components. Commun Biol 7, 1357 (2024).
• [2024] Wang, L.†, Khunsriraksakul, C.†, et al. Integrating single cell expression quantitative trait loci summary statistics to understand complex trait risk genes. Nat Commun 15, 4260 (2024)
• [2022] Khunsriraksakul, C., …, Wang, L., et al. Integrating 3D genomic and epigenomic data to enhance target gene discovery and drug repurposing in transcriptome-wide association studies. Nat Commun 13, 3258 (2022).
• [2022] Yuan, A., Wang, L., Tan, MT. Set-regression with applications to subgroup analysis. Statistics in Medicine. 2022;41(1):180-193.

Resources

• [2025] Penn State News features our BASIC work.
• [2025] Penn State News features our JOBS work.
• [2024] AMSTATS News [1] [2] spotlight on Dr. Wang.
• [2024] Penn State News features our EXPRESSO work.
• [2022] Penn State News and Penn State Health News features our PUMICE work.

Contact

Address: 375 Longwood Ave, Boston, MA
Email: lida.wang.96 (at) gmail.com