An open knowledge hub bridging theoretical research and practical application in AI for Medicine. The skills usually learned in a MS or PhD — how to read, write, present, and publish an AI paper — distilled into a free, self-paced curriculum available to anyone.
From foundational ML concepts to clinical data access, regulatory awareness, and deployment constraints — we cover what papers don't.
You don't need a lab or a supervisor to learn how to write a publishable paper. This curriculum makes that knowledge free and accessible to all.
India's healthcare AI market is on a steep growth curve. We cover its startups, researchers, datasets, and institutions from the inside.
Work through these articles in order, or jump to whatever you need. Each article is standalone but links to the others.
If you're a B.Tech student, industry engineer, or anyone curious about AI research, Track 1 gives you everything to start a project and publish your first paper — from zero.
Identify a gap, verify novelty, and define a research question worth pursuing.
Baselines, experiments, and the right metrics for imbalanced clinical data.
LaTeX, references, conference deadlines, and submitting your first paper.
Interviews, mentors, travel funding, postdoc and industry research roles.
Using Parkinson's disease subtyping as a case study: CITI training, data access, clinical motivation frameworks, ML challenges with patient data, and writing for clinical journals — every step covered.
Read the guideA strategic guide to proving impact and winning the research job offer — from postdoc applications to AI industry roles.
Read the guideThe full research lifecycle — motivation, problem ideation, literature survey, problem verification — from someone who's done it for 10+ years.
Read the guideSix traits of a genuinely good mentor, and the warning signs that a relationship will cost you years of your life.
Read the guideA 6-month playbook with a worked medical NLP example — shared tasks, the right conferences, and a weekly schedule that works.
Read the guideFrom IIT Kharagpur to L3S Research Center during a pandemic — the search, the interview, the visa, and what I'd do differently.
Read the storyFirst-hand research experience across India (IIT Kharagpur), Germany (L3S Research Center), and the US (Stanford) — from B.Tech intern to published postdoc.
Computer Science, West Bengal. Thesis on email interactivity. First research internship at IIT Kharagpur.
CGPA 9.21. Thesis on Computational Approaches for Online Reputation Monitoring. Research internship at Adobe India (2018). Full guide to the MS Research application →
Thesis: Domain Adaptation for Medical Language Understanding. PhD awarded July 2025. Published at SIGIR, ACL, IJCAI, EMNLP, ECAI, CIKM.
Leibniz University Hannover. Parkinson's disease subtyping with Hannover Medical School. GeneMask: 10× speedup for DNA transformer pretraining. How I got there →
HealthCare Technology & Innovation Center. Generative AI oncology dashboard, representation learning for medical imaging equipment — one patent filing.
Division of Computational Medicine, Dept. of Medicine. Faculty Advisor: Prof. Tina Hernandez-Boussard. Building auditable medical AI systems using clinical guidelines as evidence. This site documents everything learned across the journey.
Clinical datasets, Indian startups, Parkinson's research, LLMs in radiology.
LaTeX, references, replication to publication, shared tasks.
Python, NLP, imbalanced data, EDA in R, end-to-end projects.
IIT Kharagpur MS, mentor selection, travel funding, Germany research roles.
Hugging Face Hub, MIMIC-CXR, CheXpert, PPMI, UK Biobank, FIRE — every major platform and domain-specific collection with access instructions.
Open the guideCORE-ranked month-by-month table covering NLP, ML, and medical AI venues — with MICCAI, AMIA, ML4H, and all major CS conferences.
Check deadlinesAnnotated reading list covering classical ML, deep learning, NLP, IR, and medical AI — with honest notes on who each book is for, and free PDF links.
See the listNo spam. Occasional curated updates when new posts, datasets, or deadline reminders are added. Unsubscribe anytime.
Insights from 15+ published papers at SIGIR, ACL, IJCAI, EMNLP and beyond — distilled for researchers, students, and engineers.