Balakrishnan Nagaraj

Balakrishnan Nagaraj Email and Phone Number

Postdoctoral Researcher | Interested in Geometric Deep Learning, Generative Models, and Data Science @ Department of Electrical and Computer Engineering at Texas A&M University
Balakrishnan Nagaraj's Location
College Station-Bryan Area, United States
About Balakrishnan Nagaraj

Present: Working on Generative models for materials discovery and dynamical systems modeling.Past: Ph.D. in High Energy Physics with a focus on CFTs and AdS amplitudes.Programming: Python, C, C++, SQLMachine Learning: Regression, Classification, Bayesian modeling, Clustering, Feature engineering, Machine translation, Recommendation systemsML Tools and Models: CNN, RNN, LSTM, Transformers, VAE Packages and Tools: NumPy, Matplotlib, Pandas, Scikit-learn, MATLAB, Tableau, TF-2/Keras, Spark, AWS

Balakrishnan Nagaraj's Current Company Details
Department of Electrical and Computer Engineering at Texas A&M University

Department Of Electrical And Computer Engineering At Texas A&M University

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Postdoctoral Researcher | Interested in Geometric Deep Learning, Generative Models, and Data Science
Balakrishnan Nagaraj Work Experience Details
  • Department Of Electrical And Computer Engineering At Texas A&M University
    Postdoctoral Researcher
    Department Of Electrical And Computer Engineering At Texas A&M University Jan 2023 - Present
    College Station, Texas, United States
    Working on modeling dynamical systems and generative models for materials discovery.
  • Texas A&M University
    Heep Fellow
    Texas A&M University Jan 2022 - Aug 2022
    College Station, Texas, United States
    - HEEP Fellow at Institute for Quantum Science and Engineering, TAMU- Developing neural network-based techniques for imaging with applications in microscopy and x-ray imaging
  • Texas A&M University
    Graduate Research Assistant
    Texas A&M University Sep 2017 - Dec 2021
    College Station, Texas, United States
    - Published 6 research papers in renowned journals including one in The Physical Review Letters.- Discovered new de Sitter solutions in no-scale supergravity theories.- Developed an efficient way to compute scattering amplitudes in Anti-de Sitter space using spinor-helicity formalism.- Implemented semi-definite programming algorithms in Python for optimization problems in conformal bootstrap.
  • Texas A&M University
    Graduate Teaching Assistant
    Texas A&M University Sep 2014 - Aug 2017
    College Station, Texas, United States
    - Delivered a full-length undergraduate course PHYS 202 including designing/organizing exams and leading other teaching assistants.- TA for the graduate course PHYS 603 Electromagnetic Theory
  • Indian Institute Of Technology, Madras
    Research Intern
    Indian Institute Of Technology, Madras May 2014 - Jul 2014
    Chennai, Tamil Nadu, India
    - Studied black hole solutions in higher curvature gravity- Developed finite element techniques to study black hole collisions
  • Aryabhatta Research Institute Of Observational Sciences
    Research Intern
    Aryabhatta Research Institute Of Observational Sciences May 2013 - Jul 2013
    Nainital, Uttarakhand, India
    - Studied optical light curves of core-collapse supernovae of type Ib and Ic- Developed algorithms to model the light curves using Arnett and Jeffery models

Balakrishnan Nagaraj Skills

Matlab Python Data Analysis C++ C

Balakrishnan Nagaraj Education Details

Frequently Asked Questions about Balakrishnan Nagaraj

What company does Balakrishnan Nagaraj work for?

Balakrishnan Nagaraj works for Department Of Electrical And Computer Engineering At Texas A&m University

What is Balakrishnan Nagaraj's role at the current company?

Balakrishnan Nagaraj's current role is Postdoctoral Researcher | Interested in Geometric Deep Learning, Generative Models, and Data Science.

What schools did Balakrishnan Nagaraj attend?

Balakrishnan Nagaraj attended Texas A&m University.

What skills is Balakrishnan Nagaraj known for?

Balakrishnan Nagaraj has skills like Matlab, Python, Data Analysis, C++, C.

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