My Journey in AI and Heathcare
- 3+ Years of experience developing cutting-edge ML models and end-to-end pipelines
- 8+ Years of research experience in biotechnology
- 7 Peer-reviewed publications, including 3 as first author
- (4 more first authored papers forthcoming)
Resume
A self-motivated and deep researcher with a proven track record as a fast learner, I thrive in translational and multidisciplinary environments with strong communication skills and a commitment to teamwork.
Experience
Machine learning Consultant
Deep Science Venture
Mar 2025 to Present
Machine learning intern
LinkGevity
Aug 2024 to Oct 2024
Machine Learning in Healthcare intern
Bytedance
Mar 2023 to Sep 2023
Trainee
Syngenta
Jun 2017 to Aug 2017
Education
PhD. Data Science of infectious disease genomics
London School of Hygiene and Tropical Medicine
Fall 2021 to present
Master of Research Bioengineering (Merit)
Imperial College London
Fall 2019 to 2020 Fall
BSc Biochemistry (First Class Honor)
King's College London
Fall 2016 to Summer 2019
Science & Engineering
International School of Geneva
Summer 2012 to Summer 2016
Beijing No.4 High School
Fall 2010 to Summer 2012
Skills
Python / C++ / R
Scikit-learn / Numpy / Pandas
Matplotlib / Seaborn / Plotly
Pytorch / Tensorflow / PyG / Jax
Linux / Unix / Bash / Git / Hugginface / langChain / NextFlow
Google Cloud
BWA-mem / samtools / bcftools / GATK
Freebayes / Beast2 / trimmomatic / Plink2
Rxml / Figtree / iTol
Publications
2025
- Wang L, Thawong N, Thorpe J, Higgins M, Tan M, et al. A novel tool for designing targeted gene amplicons in TB genomic studies. bioRxiv. (Submitted)
- Thawong N, Sriloha P, Phelan JE, Phornsiricharoenphant W, et al., Wang L, Clark TG. Genomic analysis of TB in Thailand. Research Square. (Submitted)
- Data Study Group Team. Detecting shallow gas from marine seismic images. The Alan Turing Institute.
2024
- Wang L, Lim DR, Phelan J, Campino S, Hibberd ML. WGS of TB in the Philippines. Sci Rep 14:70471.
- Phelan J, Niazi F, Wang L, Ngwana-Joseph GC, et al. TGV: tools to visualize transmission graphs. NAR Genomics Bioinform 6(4).
2023
- Wang L, Campino S, Phelan J, Clark TG. Mixed infections in drug-resistant TB. Sci Rep 13:1–8.
- Libiseller-Egger J, Wang L, Deelder W, Campino S, et al. TB-ML: comparing ML models for TB drug resistance. Bioinform Adv.
(More in Google Scholar…)
Thesis
Infectious disease Genomics Meets AI: Scalable Models, Interpretable Tools, and Data-Driven Diagnostics
Fun Experience
Turing DSG Hackathon: Detecting Shallow Gas from Marine Seismic Images (Alan Turning Institute: Data study group challenge)
- Explored CNN architectures and ensemble approaches for geospatial pattern recognition.
- Developed classification, segmentation, and object detection models for shallow gas pocket identification in noisy, low-contrast marine datasets.
- Contributed to the end-of-sprint report for industrial partner BP, presenting results with interpretability-focused visualizations.
Teaching Trips
Data & AI: for pathogen genomics (Philippines, Indonesia, Thailand, UK)
- Teaching of Bash programming with use of commandline based softwares.
- Teaching of Mathematics, and biology behind the genomics sequencing pipeline we developed in house.
- Building of chatbot with RAG with langChain, ChromaDB with memory of the course content participate interactive Q&A.
- Individual problem solving workshop: providing AI/bioinformatic solution to the real research problem on a individual case basis.
