About
About Tommy Tang
I'm a data scientist and applied machine-learning developer based in Toronto, with a background in neuroscience and molecular genetics. I work across computer vision, NLP, biomedical AI, and analytics, and I care about building models that are not just accurate but interpretable and useful.
My scientific training taught me to be rigorous about evidence — to design fair evaluations, question results that look too good, and explain findings clearly to people who don't share my background. I bring that same discipline to data and ML work. (Placeholder bio — edit to make it your own.)
Education
- Neuroscience / Molecular Genetics — University (placeholder). Research and coursework grounding in experimental design and biological data.
- Applied AI / Data Science — Program (placeholder). Hands-on training in machine learning, deep learning, and analytics.
Academic records or transcripts can be provided upon request.
Technical interests
Areas I keep coming back to and want to grow in:
- Computer vision
- Biomedical AI
- NLP / transformers
- Model evaluation
- Analytics & BI
- ML deployment
Tools & methods
Languages
- Python
- SQL
- R
- JavaScript
- Bash
Machine Learning & DL
- PyTorch
- scikit-learn
- Hugging Face Transformers
- U-Net / CNNs
- YOLO
- Model evaluation
Computer Vision & NLP
- OpenCV
- Image segmentation
- Object detection & tracking
- Text classification
- Transformers / BERT
Data & Analytics
- Pandas / NumPy
- PostgreSQL / SQL Server
- Power BI
- Tableau
- Window functions
- Data modeling
Deployment & Tooling
- Hugging Face Spaces
- Gradio
- Streamlit
- Git / GitHub
- Docker (basics)
- GitHub Actions
Career focus
I'm targeting roles such as:
- Data Scientist
- Machine Learning Engineer
- AI Scientist
- Data Analyst
- Applied AI / Research Engineer