Machine Learning & Computational Biology Leader, Biotech
rivehill@gmail.com ·
github.com/Yue-Jiang ·
Google Scholar ·
LinkedIn
I've built and led ML/comp-bio teams that deploy models into therapeutic
design pipelines and deliver analyses that inform manufacturing and clinical-trial decisions —
across gene therapy (RNA editing, AAV capsid design) and CAR T cell therapy, from pre-clinical
through early clinical stages — while staying hands-on in the science.
Experience
Senior Principal Data Scientist → Director, Head of Machine Learning
2021 – present
Shape Therapeutics
Seattle, WA (remote from Los Angeles, CA)
Data Scientist → Associate Director
2016 – 2021
Juno Therapeutics / Celgene / Bristol-Myers Squibb
Seattle, WA
Decision Support Engineering Analyst Intern
2015
Google [X] / Verily Life Sciences
Mountain View, CA
Education
Ph.D., University Program of Genetics and Genomics
2009 – 2015
Duke UniversityDurham, NC
M.S., Statistical Science (concurrent)
2013 – 2015
Duke UniversityDurham, NC
B.S., School of Life Sciences
2004 – 2008
Peking UniversityBeijing, China
Skills
| Languages & tools | R, Python, PyTorch, Nextflow, AI coding agents (Claude, Codex), AWS (former Certified Solutions Architect – Associate) |
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| Domains | Deep learning, generative models, statistical modeling, bioinformatics pipelines, nucleic-acid & protein sequence design, CMC/translational/clinical data analysis |
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Patents
Inventor on 15+ US patents and applications across RNA-editing guide design, AAV capsid
engineering, and CAR-T cell therapy (4 issued; Shape Therapeutics, Juno/Celgene/BMS).
Selected Publications
Rett syndrome lifespan extension in mice via AI-guided ADAR editing
Preprint, 2026
In-mouse efficacy and safety of the DeepREAD-designed MECP2 guide RNAs; restored MeCP2 and extended lifespan in a Rett-syndrome model.
Savva YA, Booth BJ, Shumaker L, Fasnacht R, Burleigh SM, Jiang Y, Cao Y, Johnson B, Bagepalli LR, Golic F, Enger N, Feiring R, Sadowski A, Rich S, Lakshmanan A, Milani N, Chadwick EM, Hauskins C, Works MG, Huss DJ, Briggs AW, VanSchoiack AA. doi.org/10.64898/2026.06.23.734060
Helix: a structure-aware deep learning model for accurate prediction of A-to-I RNA editing by endogenous ADARs
Preprint, 2025
Transformer-based model for predicting RNA-editing outcomes; paired with DeepREAD's generative model via noisy-student distillation into DeepHelix, a unified predict-and-generate workflow for zero-shot guide-RNA design.
Cao Y, Bagepalli LR, Savva YA, Collins SM, Adams K, Letizia AJ, Boysen J, Abiar A, Edwards SR, Bussema L, Burleigh SM, Shumaker L, Hause RJ, Booth BJ*, Jiang Y*. *corresponding authors. doi.org/10.64898/2025.12.18.695251
An engineered U7 small nuclear RNA scaffold greatly increases ADAR-mediated programmable RNA base editing
Nature Communications, 2025
Engineered snRNA expression scaffold that boosts editing efficiency; contributed bioinformatics analysis.
Byrne SM, Burleigh SM, Fragoza R, Jiang Y, Savva YA, Pabon R, Kania E, Rainaldi J, Portell A, Mali P, Briggs AW. doi.org/10.1038/s41467-025-60155-z
Generative machine learning of ADAR substrates for precise and efficient RNA editing
Preprint, 2024
Bit-diffusion generative model (DeepREAD) for de novo guide-RNA design in RNA editing.
Jiang Y*, Bagepalli LR*, Banjanin BS, Savva YA, Cao Y, Guo L, Briggs AW, Booth B, Hause RJ. *equal contributions. doi.org/10.1101/2024.09.27.613923
High-Throughput Single-Cell Sequencing with Linear Amplification
Molecular Cell, 2019
Yin Y, Jiang Y, Lam KG, Berletch JB, Disteche CM, Noble WS, Steemers FJ, Camerini-Otero RD, Adey AC, Shendure JA. doi.org/10.1016/j.molcel.2019.08.002
Anti-B-cell maturation antigen chimeric antigen receptor T cell function against multiple myeloma is enhanced in the presence of lenalidomide
Molecular Cancer Therapeutics, 2019
Works M, Soni N, Hauskins C, Sierra C, Baturevych A, Jones JC, Curtis W, Carlson P, Johnstone TG, Kugler D, Hause RJ, Jiang Y, Wimberly L, Clouser CR, Jessup HK, Sather B, Salmon RA, Ports MO. doi.org/10.1158/1535-7163.MCT-18-1146
Molecular profiling of activated olfactory neurons identifies odorant receptors for odors in vivo
Nature Neuroscience, 2015
Jiang Y, Gong N, Hu X, Ni J, Pasi R, Matsunami H. doi.org/10.1038/nn.4104
Invited Talks
Computational RNA Design & Delivery Summit, Boston, 2024.