Mira Partha
About Mira Partha
Mira Partha is a Machine Learning Group Intern at Lawrence Livermore National Laboratory, focusing on the application of machine learning in bioinformatics to tackle biomedical challenges. She has a strong educational background with degrees from Stanford University and the Massachusetts Institute of Technology, and has contributed to various research projects involving antibody design and computational platforms.
Work at Lawrence Livermore National Laboratory
Mira Partha currently holds the position of Machine Learning Group Intern within the Computational Engineering Division at Lawrence Livermore National Laboratory. She has been in this role since 2020. Her work focuses on integrating machine learning with bioinformatics to tackle significant biomedical challenges. Previously, she worked as an MEng Co-op in the same division from 2018 to 2019, where she contributed to various projects involving high-performance computing.
Education and Expertise
Mira Partha is pursuing a Doctor of Philosophy (PhD) in Electrical Engineering at Stanford University, expected to complete her studies in 2024. She previously earned a Master of Engineering (M.Eng.) in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology (MIT) in 2020. Additionally, she holds a Bachelor of Science (B.S.) in Electrical Engineering and Computer Science from MIT, completed in 2019. Her academic background emphasizes her expertise in machine learning, bioinformatics, and computational engineering.
Background
Mira Partha's professional journey includes significant research positions at prestigious institutions. She worked at the Massachusetts Institute of Technology (MIT) from 2015 to 2017 at the Plasma Science and Fusion Center and participated in the Nuclear Weapons Education Project for a month in 2018. Her experience also includes an internship in the WCI Design Physics Division at Lawrence Livermore National Laboratory, where she focused on high energy density physics from 2016 to 2018.
Achievements in Machine Learning and Bioinformatics
In her current role, Mira Partha has contributed to a computational platform that combines machine learning, bioinformatics, structural biology, and molecular simulations. This platform aims to identify effective therapeutics for novel diseases. She has also experimented with generative adversarial networks (GANs) and auto-encoders to improve the generation of mutant antibody sequences. Notably, she utilized high-performance computing resources at Lawrence Livermore National Laboratory to design antibodies targeting SARS-CoV-2.