Hi! I'm Jotipriya Das, a PhD scholar in Data Science at IIT Palakkad. I enjoy working at the intersection of mathematics, machine learning, and real-world problem solving. Most of the time you'll find me thinking about uncertainty in AI models. The rest of the time I'm probably wondering why my code worked yesterday but not today.
I grew up in Barasat, West Bengal, where my interest in mathematics slowly turned into an obsession with solving puzzles and understanding how things work. That curiosity eventually led me into the world of data science and artificial intelligence.
I completed my B.Sc. in Mathematics from Presidency University, a place that gave me lifelong friends, unforgettable memories, and enough stories to fill several notebooks. Between classes, cultural festivals, cricket matches, and late-night conversations, those years disappeared faster than a well-trained optimization algorithm.
I later pursued an M.Sc. in Data Science at the University of Kalyani, where I shifted my focus from solving mathematical problems on paper to solving practical problems with data.
Today, as a PhD researcher at IIT Palakkad, my work focuses on building machine learning models that are not only accurate but also trustworthy and capable of expressing uncertainty when appropriate.
Life isn't only about experiments and equations. I enjoy playing cricket, football, volleyball, and carrom. In fact, I played cricket competitively during my teenage years, which taught me teamwork, patience, and how to stay calm under pressure—skills that are equally useful when training neural networks.
I also love playing the guitar. It's one of the few activities where hitting the wrong note is usually less expensive than introducing a bug into production code.
My goal is to contribute to reliable and trustworthy machine learning research while building tools that have meaningful real-world impact. Through this website, I hope to share my projects, research journey, and perhaps a few lessons learned after staring at error messages for longer than I'd like to admit.
Thanks for stopping by! If you leave with one takeaway, let it be this: every successful research project starts with curiosity—and usually a mysterious bug.