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Bhargav Srinivasa Desikan
Senior Research Fellow at IPPR | AI and Data Consulting for Civil Society | Author of NLP & Deep Learning books | MA CSS University of Chicago
About
Bhargav Srinivasa Desikan is a highly accomplished Computer Science Ph.D. student at EPFL, working at the Data Science Lab under the guidance of Prof. Robert West. With a passion for using deep learning, machine learning, and complex systems methods to approach problems in Sociology, History, and Philosophy of Science, Bhargav has already made significant contributions to the field of natural language processing and computational linguistics. Prior to his current position, Bhargav was a Research Fellow at Knowledge Lab, University of Chicago, where he worked with Prof. James Evans on Thinking with Deep Learning, a series of methods and philosophies of approaching social science, business, and research problems using deep learning-powered high-dimensional representations and embeddings. Together, they are co-authoring a book on the same topic. Bhargav has also written a book on text analysis with Python titled "Natural Language Processing and Computational Linguistics," published by PackT Publishing. He is an active contributor to the Open Source Scientific Computing community, and his work has been published in the Journal of Machine Learning Research and the proceedings of the International Conference in Computational Linguistics'20, among others. In addition to his research and academic pursuits, Bhargav has spoken at over 15 conferences across Europe, Asia, and North America, including PyCons and PyDatas. He is the co-maintainer and co-creator of the python machine learning package pycobra and comp-syn and was a Google Summer of Code student with NumFOCUS, where he implemented Dynamic Topic Models for Gensim. Bhargav has a Bachelor's degree in Computer Science from Birla Institute of Technology and Science, Pilani - Goa Campus, and a Master's degree in Computational Social Science from the University of Chicago. He is currently pursuing his Doctor of Philosophy degree in Computer Science from EPFL, where he is working on deep learning approaches to study causal inference in social scientific settings and influence-based models. Overall, Bhargav has 4.20 years of relevant experience as a Research Scientist, with expertise in Deep Learning, NLP, ML, Python, and Data Science. He is a highly motivated and accomplished individual who has made significant contributions to the field of Computer Science and is poised to make even greater contributions in the future.
Education Overview
• university of chicago
• bits goa birla institute of technology and science pilani goa campus
Companies Overview
• epfl cole polytechnique fdrale de lausanne
• university of chicago
• santa fe institute
• the alan turing institute
• inria
• intuit
• zero labs
• zero labs formerly liveweaver
• bits pilani goa campus academic registration division
Experience Overview
1.8 Years
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Experience
Doctoral Researcher
epfl cole polytechnique fdrale de lausanne | Lausanne, Vaud, Switzerland
2021 - Present
Skills
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Acoustic Modeling
Applied Machine Learning
Artificial Intelligence (AI)
C
Cascading Style Sheets (CSS)
Computational Social Science
Consulting
Data Analysis
Data Science
Data Scientist
Deep Learning
English Literature
GitHub
Graphs
Machine Learning
Machine Learning (ML)
Microsoft Word
Natural Language Processing
Natural Language Processing (NLP)
open source
Philosophy
Political Science
Python
Python (Programming Language)
Research
Research Scientist
Statistical Data Analysis
Contact Details
Email (Verified)
bhaXXXXXXXXXXXXXXXXXomMobile Number
+91XXXXXXXXXXEducation
university of chicago
Masters of Arts in Computational Social Science
2018 - 2020
bits goa birla institute of technology and science pilani goa campus
Bachelor’s Degree
2013 - 2017
bits goa birla institute of technology and science pilani goa campus
Minor Degree -
2013 - 2017
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