Yige (Hugo) Luo
Senior Scientist I @ AbbVie
About
As a Senior Scientist I at AbbVie with a PhD in Population Biology and an MS in Statistics, I specialize in oncology bioinformatics, leveraging expertise in multimodal biological data integration, real world evidence (RWE) generation and scientific communication to drive biomarker discovery and translational insights. My work focuses on antigen-directed therapeutic modalities such as ADCs and T-cell engagers (TCEs) with a data-driven approach to advancing oncology drug development. With over 2.5 years in the pharmaceutical industry and over 7 years of academic research and teaching experience, I contribute to the identification of biomarkers, real-world evidence analyses, and the integration of multimodal clinico-genomic data to enable impactful drug discovery. My mission is to extract actionable insights from complex biological data to support the development of innovative cancer therapies, ultimately improving patient outcomes.
United States
San Francisco Bay Area
Biotechnology
Genome Sequencing, Genome Assembly, Scientific Communications, High Performance Computing (HPC), Bioconductor, Research, R (Programming Language), Bioinformatics, Computational Biology, NGS, Bash, Data Science, Shell Scripting, Genomics, Data Analysis, Mathematics, Statistics, Machine Learning, Microsoft Word, Microsoft Office
Experience

Senior Scientist I
South San Francisco, California, United States
Temab‑A (ABBV‑400 Top1i ADC, GEA): ⠂ Led US/Japan real‑world clinico‑genomic analyses (Caris ConcertAI, NCCE); identified biomarker‑defined subpopulations; presented at ASCO GI; shaped CDx and combination strategy. ⠂ Designed MET prevalence/overlap/concordance analyses; conducted prognostic analysis via treatment‑specific multivariate modeling. ABBV‑706 (Top1i ADC, SCLC): ⠂ Led AACR‑accepted study integrating multimodal clinico‑genomic data; identified/validated molecular subtypes; profiled tumor‑intrinsic and immune microenvironment correlates with survival; contributed epidemiology and target antigen data for ASCO abstract. Multispecific T‑Cell Engagers (TCEs): ⠂ Directed RWD biomarker landscape analyses; evaluated/validated antigen targets; investigated SoC impact, tissue‑specific expression, resistance mechanisms; delivered subtyping/pathway insights supporting clinical plans and asset positioning. CAR‑T Programs (ABBV‑461): ⠂ Built target nomination/risk assessment framework integrating multi‑omics data (TCGA, GTEx, BluePrint, Aster, Caris); optimized antigens for tumor specificity; incorporated microenvironment and prior therapy context into patient selection; partnered externally to align bioinformatics deliverables with IND packages. Novel Payload ADCs (ABBV‑319 GRM‑ADC): ⠂ Led GRM MoA and ADCC validation using Ph1 trial data; developed predictive PD biomarkers across models; characterized pediatric tumor antigen profiles.

Graduate Student Researcher
Davis, California, United States
PhD Dissertation (Kopp Lab): The origin of sexual dimorphism – from a perspective of fruit fly pheromones ⠂ Invented low-cost experimental method on insect pheromone extraction, increasing the scalability of phenotypic sampling by 10-fold while maintaining high reliability (90% average quantification accuracy calibrated by traditional methods). ⠂ Initiated and established the first D. prolongata (~200Mb genome size) genomic research panel (~200G sequencing data across 42 populations) and comparative transcriptomic research panel (~80G data), enabling large-scale hypotheses generation. ⠂ Performed variant analysis and genome-wide association analysis (GWAS) on quantitative traits using ~14M markers (SNPs and short indels). Discovered ~50 candidate genes by statistical inference and biological interpretation. ⠂ Conducted differential gene expression and GO enrichment analysis on tissue-specific RNA-seq data. Revealed 1 potential root cause (among ~50 DEG candidate genes) explaining trait divergence. Designed follow-up experiments for hypothesis validation. ⠂ Conceived and translated project ideas into award-winning ($2K) research proposal. Collaborated with interdisciplinary professionals worldwide. Presented investigation results at select conferences. Published paper in highly regarded journal.

Teaching Assistant - Introduction to Biology
Davis, California, United States
⠂ Taught 16 in-person and remote lab classes of ~30 undergraduates, imparting biological concepts and solutions to study questions. Received 90% teaching effectiveness rating among students.

Teaching Assistant - Genes and Gene Expression
Davis, California, United States
⠂ Taught 10 in-person discussion classes of ~30 undergraduates, imparting concepts in genetics and solutions to study questions. Received 90% teaching effectiveness rating among students. ⠂ Developed, proofread and benchmarked 30+ test questions approved by 3 professors to be deployed during course examinations.

Bioinformatics Scientist
South San Francisco, California, United States
⠂ Applied state-of-art ML algorithms to identify pathogenic mRNA splicing variants in ~100 colorectal cancer patients, providing scalable solutions (~400G data analyzed in 6 hours) to lead generation of disease biomarkers. ⠂ Deployed automated bioinformatics workflow of NGS-based variant discovery, partnering with 6 cross-functional stakeholders in 2 therapeutic areas for druggable candidate mining & validation. ⠂ Presented project findings in diverse setups, including general audience covering 3 functional domains beyond R&D and 20+ computational biology experts. Received 10+ peer commendations.

Undergraduate Research Assistant
Guangzhou, Guangdong, China
⠂ Maintained and exported 2 strains of Drosophila prolongata to Research Lab at California. ⠂ Assisted in analyzing courtship songs from behavior assay recordings of Drosophila serrata. ⠂ Presented use case applications of quantitative genetics methods on female mate choice research before 10 seminar attendees, incl. 2 professors.

Undergraduate Student Researcher
Dijon, Bourgogne-Franche-Comté, France
⠂ Characterized chemical identities and quantified abundance of fruit fly pheromones using Gas Chromatography - Mass Spectrometry (GC-MS). Tested research hypotheses on correlations between pheromone profiles, female fecundity and male fighting success.

Visiting Researcher - GREAT summer exchange program
Davis, California, United States
⠂ Tested and confirmed research hypothesis on sexual dimorphic composition of cuticular hydrocarbons in Drosophila prolongata via GC-MS analysis. ⠂ Presented 15min talk at research symposium before 40+ attendees incl. 3 professors and 2 teaching assistants, winning committee-nominated award in research performance.

Teaching Assistant - Genetics
Beijing, China
⠂ Led discussion of 12 undergraduates on literature ranging from classical Mendelian genetics to cutting-edge genomic editing techniques incl. CRISPR-CAS9. Polished student-made presentations on weekly discussion topics. ⠂ Presented one course preparation talk at instructor-TA pre-lecture meeting before 8 professors and 12 teaching assistants.

Undergraduate Student Researcher
Beijing, China
Research on Cold Resistant Peptide (CRP) Derived from Arctic Cods ⠂ Artificially engineered β-galactosidase with CRP tagged and expressed recombinant enzyme in E.coli. Purified CRP-tagged β-galactosidase by nickel affinity chromatography. Examined cold resistance by enzyme kinetic assays.
Education

Statistics
Course: Probability, Mathematical Statistics I & II, Linear Regression, Analysis of Variance and Causal Inference, Computational Statistics, Multivariate Analysis, Stat Data Technologies, Advanced Stat Computing, Time Series Analysis, Big Data Optimization, Statistical Machine Learning
Yige (Hugo) Luo's Contact Information
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