A
Andrew Wong
About
Detail
Machine Learning Engineer | AI & Bioinformatics
New Haven, Connecticut, United States
Résumé
Jobs
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Manager, Machine Learning AlgorithmsBeacon BiosignalsJul 2026 - Current (3 months)- Assoc. Principal Machine Learning EngineerHarbinger HealthJul 2024 - Jul 2026 (2 years 1 month)Building next-generation cancer screening platforms by integrating deep learning with molecular biology.
- Generative AI for Genomics: Diffusion Models to synthesize high-fidelity biological data, overcoming data scarcity hurdles in oncology training sets.
- Scalable MLOps: Architected distributed training workflows using AWS and Ray, significantly reducing experiment turnaround time for large-scale genomic models.
- Biomarker Discovery: Engineered novel biological features to identify early-cancer signals with high sensitivity.
- Production Deployment: Led the productization of research models into validated production inference pipelines, ensuring strict versioning and reproducibility. - SOwner & Principal EngineerSagio DevMar 2022 - Jul 2024 (2 years 5 months)1. Founded and scaled a Generative AI media platform from zero to 2,000+ paying subscribers.
- Full-Stack Architecture: Architected high-performance web infrastructure to support rapid user growth and high-throughput content generation.
- Product Growth: Drove user acquisition through technical SEO and content strategy, establishing a leading voice in the Stable Diffusion/Generative AI community.
2. Deliver custom ML and NLP solutions for biotech clients.
- Visual LLMs: Automated large-scale image labeling pipelines by deploying Visual Language Models (VLMs) to annotate cell imagery.
- Computer Vision: Developed custom segmentation algorithms to extract biological signals from microscop - Sr Manager, EngineeringThermo Fisher ScientificDec 2013 - Jul 2024 (10 years 8 months)Directed technical strategy and software development for FDA-regulated clinical NGS sequencers (Oncology), overseeing the full lifecycle from R&D to commercial launch.
- Signal Processing & ML: Spearheaded the development of signal processing pipelines and machine learning-driven data analytics, significantly improving base-calling accuracy and variant detection.
- FDA Compliance: Led software innovation within strict regulatory frameworks (Class II/III devices), ensuring compliant design controls without sacrificing development velocity.
- Bioinformatics & Assay Co-Design: Managed the convergence of bioinformatics algorithms and wet-lab assay optimization, resulting in robust automated workflows for cancer - Sr. Research Scientist, AlgorithmsRoche Sequencing USAMar 2008 - Nov 2013 (5 years 9 months)Pioneering NGS Tech: Developed the core signal processing and base-calling pipeline for the industry's first commercial NGS sequencer.
100% Performance Gain: Doubled read length and throughput by inventing and deploying novel machine learning algorithms within the data processing pipeline.
Education
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- Ph.D, Polymer Science and EngineeringUniversity of Massachusetts AmherstJan 2004 - Jan 2008 (4 years 1 month)Langevin dynamics molecular simulation of single polymer under geometrical confinement. Theoretical studies of interaction between DNA and nanopore devices.
- CM.Phil, PhysicsChinese University of Hong KongJan 2001 - Jan 2003 (2 years 1 month)Computational physics research on complex fluids.
Publications
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- JPolymer confinement and translocationJul
- TPolymer translocation through α-hemolysin pore with tunable polymer-pore electrostatic interactionThe Journal of chemical physics Jul