Mrinal Das is an Associate Professor at IIT Palakkad with 10 years of experience in machine learning and natural language processing, combining academic research with industry collaborations. He holds a PhD from IISc and postdoctoral experience at Aalto University and UMass Amherst where he worked on privacy-aware Bayesian models, topic modeling, and deep learning for text—projects that intersect precision medicine and expert systems. Mrinal teaches programming and machine learning, supervises data-science projects, and has a track record of organizing shared tasks (e.g., ScienceIE/SemEval) that reached broad attention. His research emphasizes Bayesian nonparametrics and differential privacy applied to real-world domains like software engineering and e-commerce, reflecting a blend of theoretical depth and practical impact. Based in Kerala, he maintains an active research presence online and often bridges academic advances with industry problem-solving.
10 years of coding experience
8 years of employment as a software developer
PhD, Computer Science, Machine Learning, NLP, PhD, Computer Science, Machine Learning, NLP at Indian Institute of Science (IISc)
B. Tech, Information Technology, B. Tech, Information Technology at RCCIIT
postdoc, Machine Learning, postdoc, Machine Learning at Aalto University
postdoc, Machine Learning, postdoc, Machine Learning at University of Massachusetts Amherst
Higher Secondary, Science, Higher Secondary, Science at Chittaranjan High School
B. Tech, Information Technology, B. Tech, Information Technology at West Bengal University of Technology, Kolkata
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