Summary
Stella Hartono is a bioinformatics scientist with 14 years of experience building novel algorithms and end-to-end pipelines to analyze large-scale sequencing data across cancer biology, epigenetics, and transcriptomics. As Assistant Project Scientist at UC Davis she leads mapping and analysis workflows (AWS, HPC, Bowtie2/STAR/Bismark, Samtools, DESeq2) and develops bespoke tools like Gargamel and rlooper_sim to extract single-molecule insights from PacBio bisulfite and R-loop data. Her work bridges computational method development and biological discovery, with 24 publications in top journals and mechanistic contributions that have reshaped understanding of R-loops and SF3B1/CARM1-related genome instability. She is building transformer-based NGS models (PyTorch, DNABERT/enformer) to bring AI into genomics interpretation and multi-omics integration. Comfortable working independently or across interdisciplinary teams, she combines deep coding skills (Perl, Python, R, C++, bash, GitHub) with rigorous experimental context to translate complex datasets into therapeutic hypotheses. Based in Davis, CA, she quietly blends mathematical modeling, tool-building, and reproducible pipelines to make single-molecule and genome-wide discoveries accessible to collaborators.
13 years of coding experience
7 years of employment as a software developer
Transfer, Biochemistry, Transfer, Biochemistry at Diablo Valley College
Doctor of Philosophy (PhD), Genetics, 3.93, Doctor of Philosophy (PhD), Genetics, 3.93 at UC Davis
English, Indonesian, perl, r, python, Russian