Gege
Qian

Gege Qian is a PhD researcher in Bioinformatics and Systems Biology at the University of California, San Diego, where she develops machine-learning and computational frameworks for immunology and cancer research. Her work spans multimodal cell maps, protein organization, deep-learning models for drug response, and large-scale RNA-seq and single-cell analysis. She previously earned dual bachelor’s degrees in Biochemistry (Cell Biology) and Mathematics (Applied Science) from UC San Diego, followed by a Master of Medical Sciences at Harvard Medical School.

Gege’s research experience includes developing machine-learning algorithms for spatial protein mapping in osteosarcoma (Ideker Lab, UCSD School of Medicine), leading RNA-seq and deep-learning analyses of PIK3CA inhibitor clinical samples (Liu Lab, Dana-Farber Cancer Institute), and conducting computational immunology research in UCSD’s Molecular Biology department. Earlier in her career, she contributed to transcription-factor research at The Scripps Research Institute.