Ekam Chatterjee
Mathematician • ML Researcher • Chess Mentor
Ideas.
Where Math Meets Machine Learning
I'm Ekam Chatterjee, a student and researcher passionate about exploring the mathematical foundations of intelligence. My work bridges abstract mathematics and applied machine learning, turning concepts like eigen decomposition, topological persistence, and cellular automata into models that understand and predict.
"Mathematics is not a subject — it's a language through which reality reveals its patterns."
Through my research, I study how mathematical structure can guide learning systems — whether through topological deep learning for epileptic seizure detection, differential equations for tumor modeling, or cellular automata for dynamic prediction.
Research & Innovation
CREST Gold Project: Diabetic Foot Ulcer Analysis
Awarded the British Science Association's CREST Gold (2025) for my project integrating CNNs and mathematical progression models to rate diabetic wound severity. This research demonstrated how applied mathematics and machine learning converge in healthcare diagnostics.
Chess & Community
Chess isn't just a game — it's the perfect embodiment of strategy, logic, and patience. As a FIDE-rated player (1443) and mentor, I lead initiatives that bring chess education to under-resourced communities — including Dharavi and Teach for Fun.
I've taught over 40 students, with 110+ hours of chess instruction to underprivileged students, many discovering their first checkmates under tiled playgrounds and open roofs. To me, teaching chess is about building not just thinkers — but learners.
FIDE Rating: 1443
Students Mentored: 40+ | Teaching Hours: 110+
Mentoring at Dharavi, 2025
Strategy session with ISDI students
Chess fundamentals workshop
Explore My Work
LinkedIn Profile
Connect and explore my professional journey
GitHub Portfolio
Code, projects, and implementations
∑ ∂ ∫ ∇ ≈ λ ⊕ ⊗ ∞