Uttara Tipnis
About Uttara Tipnis
Uttara Tipnis is a Computer Vision Postdoctoral Researcher at Lawrence Livermore National Laboratory, specializing in the effects of traumatic brain injury on brain structure and function. She has an extensive academic background, including a PhD in Industrial Engineering from Purdue University and experience in various research and teaching roles.
Current Role at Lawrence Livermore National Laboratory
Uttara Tipnis serves as a Computer Vision Postdoctoral Researcher at Lawrence Livermore National Laboratory. She has held this position since 2021, focusing on advanced research in computer vision. Her work involves applying complex systems approaches to understand the impact of traumatic brain injury (TBI) on brain structure and function.
Previous Experience at Purdue University
Uttara Tipnis has extensive experience at Purdue University, where she held multiple roles. She worked as a Graduate Teaching Assistant in various capacities from 2016 to 2021, totaling over 16 months. Additionally, she served as a Graduate Research Assistant from 2017 to 2020 for a total of 18 months, contributing to research projects in industrial engineering.
Internships at Lawrence Livermore National Laboratory
Prior to her current role, Uttara Tipnis completed two internships at Lawrence Livermore National Laboratory. She was a Computer Vision Summer Intern in 2020 for three months and participated in the Data Science Summer Institute in 2019, also for three months. These internships provided her with practical experience in data science and computer vision applications.
Educational Background
Uttara Tipnis holds a Doctor of Philosophy (PhD) in Industrial Engineering from Purdue University, which she completed from 2016 to 2021. She also earned a Master of Science (MS) in Industrial Engineering from Oklahoma State University between 2014 and 2016. Her undergraduate studies were in Mechanical Engineering at Savitribai Phule Pune University, where she obtained her Bachelor's degree from 2008 to 2013.
Research Focus and Methodologies
Uttara Tipnis's research primarily investigates the effects of traumatic brain injury (TBI) on the human brain. She employs various methodologies, including graph theory, network science, machine learning, data science, and information theory, to analyze complex systems and their implications in her field.