Swastik Bhattacharya
PhD Student, University College Dublin
Statistics and machine learning. Ranking algorithms, Bayesian modelling and recommender systems.
02 · Intellectual Collision Engine
Meet the field you did not know you needed.
Tell it what you know. It finds a discipline that holds the missing piece, explains the connection, proposes one concrete question you could work on together, and checks the literature to see whether anyone is already standing at that boundary.
What you know (interests, methods, field)
The Researchgram directory
People on the team
The engine also looks here for people at the other end of a collision. This list is written by hand and fully editable: open this page with ?edit to add yourself or change a card. Keep the last line of each card as the words that describe the person’s interests.
Kushagra Agrawal
MSc Student, Åbo Akademi University
Agentic AI, multi-agent systems, large language models, computer vision and efficient intelligent systems.
Akshay Prashad
PhD Student, University College Dublin
AI for meteorology: which architectures work best for weather and climate prediction.
Akshita Srivastava
BSc Actuarial Science and Mathematics, University of Manchester
Probability and stochastic processes, with quantitative research on financial problems.
Kanishk K. Sachan
MSc Artificial Intelligence, University of Manchester
Agentic systems and decisions under incomplete information, including LLM trading agents.
Sourit Mitra
MSc Data Science, Chennai Mathematical Institute
Machine learning and statistics applied to financial markets; federated learning in privacy-preserving settings.