Hiranmayi Ranganathan PhD

Hiranmayi Ranganathan PhD

Group Leader Computer Vision Group @ Lawrence Livermore National Laboratory

About Hiranmayi Ranganathan PhD

Hiranmayi Ranganathan, PhD, is a Group Leader of the Computer Vision Group at Lawrence Livermore National Laboratory, with extensive experience in machine learning and computer vision. She holds a PhD from Arizona State University and has worked in various roles at notable organizations, including ATOM Accelerating Therapeutics and Intel Corporation.

Current Role at ATOM Accelerating Therapeutics for Opportunities in Medicine

Hiranmayi Ranganathan serves as a Machine Learning Specialist at ATOM Accelerating Therapeutics for Opportunities in Medicine. She has held this position since 2020, contributing her expertise in machine learning within the San Francisco Bay Area. Her work focuses on leveraging machine learning techniques to enhance therapeutic opportunities in medicine.

Work at Lawrence Livermore National Laboratory

Hiranmayi Ranganathan has held multiple positions at Lawrence Livermore National Laboratory. She began as a Postdoctoral Research Staff Member from 2019 to 2021, followed by a role as a Machine Learning Researcher from 2021 to 2022. She then advanced to Senior Staff Researcher, Machine Learning from 2022 to 2024. Currently, she is the Group Leader of the Computer Vision Group, a position she has held since 2024.

Education and Expertise

Hiranmayi Ranganathan has a strong educational background in engineering and computer science. She earned a Bachelor's Degree in Electrical, Electronics, and Communications Engineering from Anna University from 2002 to 2006. She then completed a Master's Degree in Electrical and Computer Engineering at UC Santa Barbara from 2006 to 2009. Ranganathan achieved her Ph.D. in Computer Vision and Machine Learning from Arizona State University, where she studied from 2009 to 2018.

Research Experience and Contributions

Hiranmayi Ranganathan possesses a decade of research experience in Deep Learning and Computer Vision. She authored a Ph.D. dissertation titled 'Deep Active Learning Explored Across Diverse Label Spaces,' which highlights her expertise in active learning methodologies. Her background includes developing applications using MATLAB and Python, particularly in the fields of Deep Learning and Computer Vision.

Internship Experience at Intel Corporation

Hiranmayi Ranganathan completed several internships at Intel Corporation. She worked as a Graduate Software Intern in 2010 and again in 2011, both in the Phoenix, Arizona Area. Additionally, she served as a Graduate Technical Intern in Santa Clara, California in 2012, and as a Graduate Research Intern in Hillsboro, Oregon in 2013. These experiences contributed to her technical skills and industry knowledge.

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