Free research training for AI in Medicine
Your work doesn’t speak for itself — you have to speak for it. Here’s how to build an online presence that opens doors. Let me tell you something that took me years to understand: having good publications is necessary but not sufficient. Early in my PhD at IIT Kharagpur, I published a paper at WebSci … Read more
The application process, the timeline, the mistakes, and the things I wish I knew before landing my postdoc at Stanford Medicine. This is the article I’ve been wanting to write for a long time. I’ve written about how to apply for MS Research at IIT Kharagpur, what to do after joining, and how I secured … Read more
A deep dive into our research on vocabulary adaptation for reliable medical summarization — from IJCAI 2024 to ACL 2025, with practical insights for anyone building NLP models for healthcare. In December 2025, I had the privilege of delivering a talk at the Breakfast Talk series of Microsoft Research India in Bangalore. The topic was … Read more
A researcher’s guide to trustworthy, interpretable ML for healthcare — the frameworks, the methods, the trade-offs, and what clinicians actually need from your model. Here’s a conversation I’ve had more times than I can count, in slightly different forms: Clinician: “Your model says this patient is high-risk. Why?”AI Researcher: “Well, the model captures complex non-linear … Read more
The revision process nobody teaches you — how to write rebuttals, handle harsh feedback, and strategically improve your paper. Based on 7 weeks of research paper writing classes I taught at IIT Kharagpur. You submit your paper. You wait weeks, sometimes months. Then the reviews arrive. Your heart sinks. Reviewer 2 calls your experimental design … Read more
From GPT-4 to Med-PaLM, from vocabulary adaptation to agentic AI — understanding where LLMs work, where they fail, and how to build on them for your own medical AI research. Large Language Models are everywhere in AI research right now. If you’re attending any top-tier conference — NeurIPS, ACL, AAAI, MICCAI — you’ll find that … Read more
You don’t need a conference ticket to benefit from it — a step-by-step system for extracting tutorials, papers, and research directions from any top-tier venue. Expanded 2025 edition — originally published May 2019 Following conferences strategically — even without attending — is one of the highest-leverage habits a researcher can build. Here’s a systematic approach … Read more
Image by StockSnap from Pixabay
Missed the deadline? Your work isn’t wasted — a practical guide to preprint servers, journals, and workshops as viable publishing routes for AI and ML research. Expanded 2025 edition — originally published August 2022 The quick answer is yes. The full answer involves understanding preprints, journals, transactions, and when each is the right choice for … Read more
The essential textbooks for ML, deep learning, NLP, and medical AI — with honest notes on who each book is for and where to find free legal copies. Photo credit: danielfoster437 Library Books via photopin (license) Updated 2025 — originally published December 2018 A curated reading list of the essential textbooks for ML, NLP, deep … Read more