Sahil Manchanda

Sahil Manchanda is a dedicated PhD scholar specializing in Machine Learning on Graphs, with a focus on Learning Combinatorial Optimization over graphs and Mixed Integer Programming.

With experience as a Research Engineer at Conduent Labs (formerly Xerox Research Center India), Sahil has worked on analytical and ML challenges in areas such as transportation domain and drug discovery.

His academic journey includes a Master's degree in Computer Science and Engineering from the Indian Institute of Technology, Guwahati, where he excelled with a remarkable CGPA of 9.14 out of 10.

Prior to this, he completed his Bachelor's degree in Information Technology from the University School of Information Technology, Delhi, showcasing his strong educational foundation.

Sahil's professional background also includes roles such as a Research Intern at NAVER LABS Europe and a Software Engineer at Adobe, highlighting his diverse skill set and experience in the tech industry.