Harish Chandran
At Alphabet, I currently lead Behavior Models group within Waymo which is responsible to improve the quality of predictions about the behavior of agents the Waymo driven encounters in the real world. Previously, I worked on bring DeepMind technologies to Google products and making ranking and recommendations of posts on Google+ better. In graduate school, I worked on DNA self-assembly, nanoscience and theoretical self-assembly.
Research Areas
Authored Publications
Sort By
Google
Balance Regularized Neural Network Models for Causal Effect Estimation
Mehrdad Farajtabar
Andrew Lee
Yuanjian Feng
Vishal Gupta
Peter Dolan
Martin Szummer
Causal Discovery & Causality-Inspired Machine Learning Workshop, NeurIPS 2020 (2020)
Improving the Performance of DNA Strand Displacement Circuits by Shadow Cancellation
Tianqi Song
Nikhil Gopalkrishnan
Abeer Eshra
Sudhanshu Garg
Reem Mokhtar
Hieu Bui
John Reif
ACS Nano (2018)
Modeling DNA Nanodevices Using Graph Rewrite Systems
Reem Mokhtar
Sudhanshu Garg
Hieu Bui
Tianqi Song
John Reif
Springer International Publishing (2017), pp. 347-395
Probabilistic Analysis of Localized DNA Hybridization Circuits
Neil Dalchau
Nikhil Gopalkrishnan
Andrew Phillips
John Reif
ACS Synthetic Biology (2015)
Meta-DNA: A DNA-Based Approach to Synthetic Biology
Nikhil Gopalkrishnan
Bernard Yurke
John H. Reif
Systems and Synthetic Biology: A Systematic Approach (2014)
DNA Computing
Preview
Hieu Bui
Sudhanshu Garg
Nikhil Gopalkrishnan
Reem Mokhtar
John H. Reif
Tianqi Song
Computing Handbook (2014)
