Aseem Raj Baranwal is an AI research scientist at XTX. His doctorate at the Cheriton School of Computer Science, University of Waterloo, focused on statistical foundations for learning on graphs, co-advised by Kimon Fountoulakis and Aukosh Jagannath. Earlier he completed an M.Math. at Waterloo on algorithmic number theory and combinatorics on words under Jeffrey Shallit, following an undergraduate degree at IIT Jodhpur.
The site is organized around three sections: Home, Papers, and Blog, plus a CV. The Papers section collects his research output, while the Blog holds short expository notes on mathematical topics such as soap film colors, the Ehrenfest urn, the arcsine law, and the Johnson–Lindenstrauss lemma. A theme switcher offers several light and dark color schemes for comfortable reading.
It is aimed at researchers, graduate students, and technically minded readers who want to follow work on graph learning and probability, or who enjoy concise mathematical explanations. Recruiters and collaborators can use the CV and linked Scholar, LinkedIn, GitHub, X, and Telegram profiles to assess background and reach out.
A practical approach is to start with the Papers page for formal results, then browse the Blog for intuition-building posts that connect probability, combinatorics, and machine learning. The CV gives the chronological view. Overall, it is a lean academic homepage that prioritizes substance over presentation.
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