Chaitanya K. Joshi

Chaitanya K. Joshi

Research Engineer at A*STAR, Singapore

Hi, I'm Chaitanya Joshi! I'm a Research Engineer at A*STAR, Singapore, working on the emerging field of Graph Deep Learning. I graduated as the Valedictorian from Nanyang Technological University, Singapore in 2019 with a B.Eng. in Computer Science, and was a Research Assistant under Prof. Xavier Bresson.

Research Interests

My recent work focuses on Graph Neural Networks (GNNs) and is motivated by their application to accelerating scientific discovery. Towards designing the next generation of GNN architectures, I have worked on better empirical benchmarks for modern GNNs and am exploring their theoretical limitations.

GNN Architectures

A key application area motivating my work is Combinatorial Optimization problems on graphs, especially the famous Travelling Salesman Probelem (TSP). My papers on deep GNNs for learning-driven TSP solvers and the challenge of out-of-distribution generalization have been presented at INFORMS 2019 as an invited talk and at NeurIPS 2019 as a workshop poster. I was also awarded the Best Final Year Thesis award by NTU for the same.

GNNs for TSP

Previously, I worked on SAP's flagship enterprise ML product, Cash Application, co-designing a deep learning system for matching financial data to automate corporate accounting processes. Today, CashApp handles over € 200 Million Euro in annual sales pipeline for global companies and lead to 3 US patents.

Before that, my journey in Machine Learning started with Natural Language Processing research at École Polytechnique Fédérale de Lausanne and deploying Dialog Systems at conversational AI startup Evie.ai.

Technical Writing

I am deeply passionate about sharing knowledge and commuicating technical ideas in a pedagogical manner. For example, I recently published an article bringing together my research interests in GNNs and NLP with The Gradient.


Here are some recent highlights from my blog:

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