curriculum vitae
Matthew Chung, PhD
Summary
AI/ML bioinformatician and PhD immunologist with experience applying statistical and machine learning methods to health and life sciences data, using analytical, clinical and product insight to build data products, inform decision-making and improve outcomes for patients.
Experience
| Oct 2023-Present | Senior Bioinformatician Sonrai • Led 6 machine learning and advanced analytics projects or pharma and biotech clients, spanning multiomics biomarker discovery in clinical trials, patient stratification, multimodal data integration for target discovery, peptide drug design, and mechanism-of-action analysis • Delivered 20+ decision-support artefacts including containerised codes, manuscripts, presentations and 6+ custom apps through AWS; led the conversion of 4 apps into launched products by shaping the product roadmap, business cases, product requirement and design documents • Conceived and built a proof-of-concept functional analysis platform using clean microservice architecture to overcome access and efficiency blocks in using prior knowledge to accelerate hypotheses generation from multiomics results; collaborated closely with engineering • Supported business development through webinar delivery, article writing, technical support for 50+ sales leads; helped secure 3 new contracts through technical demos and 2 annual renewals as project lead for a major client |
| Mar 2024-Present | Venture Associate Next Sequence • Performed due diligence on 60+ AI × Bio startups, supported founder outreach, wrote 2 deal memos and pitched to investors; contributed to one investment deal • Organised 2 AI × Bio community events, including one with Venture Café and ARIA that attracted 300+ attendees • Mapped the neurotech startup ecosystem and contributed to an opinion article |
| Sep 2018-Aug 2019 | Health Data Scientist UCL |
Education
| 2020-2024 | PhD Immunobiology and Bioinformatics King’s College London |
| 2019-2020 | MRes Biomedical and Translational Science King’s College London |
| 2022-2023 | Executive Education in Entrepreneurial Edge London Business School |
| 2018-2019 | MSc Health Data Science UCL |
| 2016-2018 | MPhil Structural Biology and Biochemistry University of Hong Kong |
| 2012-2016 | BSc Biomedical Sciences University of Hong Kong |
Awards
| 2022 | Stem Cell SpaceShot Grant Link TreeFrog Therapeutics Award of $100K; Project: “Reprogramming hiPSC-derived macrophages to repair neuronal injury” |
| 2023 | Business pitch competition winning team London Business School Selected to pitch our business idea to a panel of Angel and VC Investors (success rate ~7%) |
| 2023 | DMM Conference Travel Grant The Company of Biologists |
| 2019 | Wellcome Trust PhD Scholarhip Wellcome Trust Scholarship of ~£200K covering tuition, stipend and research funding (acceptance rate ~2%) |
Skills
Multi-omics | Imaging
EHR | Clinical data
R | Python | SQL
Nextflow | Git | AWS Cloud
ML | Statistical modelling
Plotly/Dash | Angular
Streamlit | Shiny