Sarthak Sharma
he / him / his
State University of New York at Buffalo
Institute for Artificial Intelligence and Data Science
Biography
I am a second-year PhD student in Computational and Data Sciences at the State University of New York at Buffalo. I am skilled in high-performance computing, AI / machine learning, computational science, data science, software development, etc. My career goal is to work as a scientist or professor. My past education is summarized below: Master's degree in Computational Science from Florida State University (2022), Master's degree in Mechanical Engineering from Indian Institute of Science (2020), Bachelor's degree in Mechanical Engineering from the University of Mumbai (2015). My work experience is summarized below: Summer intern at Division of Mathematics and Computer Science, Argonne National Laboratory, near Chicago IL (May - August 2025), Research Project Assistant at SUNY Buffalo (August 2024 to present), Technical Analyst at Excelacom (telecommunications industry) near Denver CO (November 2022 - May 2024), Graduate Assistant at Florida State University at Tallahassee FL (January 2021 - July 2022), Research Fellow / Project Assistant at Indian Institute of Science in Bangalore, India (May 2019 - November 2020), Associate Engineer at Airbus in Bangalore, India (July 2019 - April 2019). Full details are in my resume / CV.
Academic Status
PhD Student - 2nd
Research Area/Department
Computer Science; Data Science; Engineering; Machine Learning/AI; Physics
Major/Specialty
I am currently a second-year PhD student in "Computational and Data Sciences" at the State University of New York at Buffalo. I am skilled in computational science, data science, artificial intelligence / machine learning, high performance computing / parallel programming, software development, etc. I can program in Python, C, C++, Java, etc. My PhD research is in using high performance computing for simulations of plasma physics / magnetohydrodynamics for nuclear fusion (renewable energy).
Degrees Earned or in Progress
Doctor of Philosophy (Computational and Data Sciences), 2027 (expected), State University of New York at Buffalo. Master of Science (Computational Science), 2022, Florida State University. Master of Science in Engineering (Mechanical Engineering), 2020, Indian Institute of Science. Bachelor of Engineering (Mechanical Engineering), 2015, University of Mumbai.
Academic Preparation
My relevant and recent university courses are listed below, in reverse chronological order. State University of New York at Buffalo: Fall 2025: Deep Learning, Data Intensive Computing. Spring 2025: High Performance Computing - II, Reinforcement Learning, Applied Mathematics - II. Fall 2024: Machine Learning, High Performance Computing - I, Applied Mathematics - I. Florida State University: Spring 2022: Advanced Data Mining, Deep and Reinforcement Learning. Fall 2021: Data Mining, Applied Machine Learning, Artificial Intelligence. Spring 2021: Applied Computational Science - II, High Performance Computing. Fall 2020: Applied Computational Science - I, Scientific Programming. My past academic research projects include the following: Copa Airlines: visualizing flight networks, and using machine learning to predict flight delays (master's degree research project in Computational Science, at Florida State University). Analysis and design of organic Rankine cycle based power plants (master's degree research project in Mechanical Engineering, at Indian Institute of Science).
Research/Publications
I have the following research experience: Summer intern at Division of Mathematics and Computer Science, Argonne National Laboratory, near Chicago IL (May - August 2025), Research Project Assistant at State University of New York at Buffalo (August 2024 to present), Graduate Assistant at Florida State University, in Tallahassee FL (January 2021 - July 2022), Research Fellow / Project Assistant at Indian Institute of Science, in Bangalore, India (May 2019 - November 2020). References: Dr Junchao Zhang (jczhang@mcs.anl.gov), Division of Mathematics and Computer Science, Argonne National Laboratory. Prof Matthew Knepley (knepley@buffalo.edu), Department of Computer Science and Engineering, State University of New York at Buffalo. Prof Gordon Erlebacher (gerlebacher@fsu.edu), Department of Scientific Computing, Florida State University. Prof Pradip Dutta (pradip@iisc.ac.in), Department of Mechanical Engineering, Indian Institute of Science. Prof Punit Singh (punitsingh@iisc.ac.in), Center for Sustainable Technologies, Indian Institute of Science.
Research/Academic Interests
My research / academic interests include computational science, artificial intelligence / machine learning, high performance computing, data science, robotics, renewable energy, aerospace engineering, mechanical engineering, etc.
Computational and Data Science Areas
Applied Computer Science; Artificial Intelligence and Intelligent Systems; Computer Science; Fluid and Plasma Physics; Informatics, Analytics and Information Science; Mechanical Engineering; Other Computer and Information Sciences; Other Engineering and Technologies
Motivation
I have always loved research. The thrill of making discoveries and inventions, and the realization that what we are working on now may eventually help the world in the future, makes research an ideal career for me. My dream job would be a scientist in a research organization or a professor in a research university. I am interested in computing-related fields such as artificial intelligence / machine learning, computational science, data science, robotics, etc. I am also interested in fields such as renewable energy where we find solutions to pressing problems in the global energy crisis and climate change / pollution. To reach my career goal, I am currently pursuing a PhD degree in Computational and Data Sciences at SUNY Buffalo. My PhD research project involves using high-performance computing to simulate plasma physics / magnetohydrodynamics for nuclear fusion energy. But a PhD degree, though necessary, may not be sufficient, due to cut-throat competition everywhere today. Internships in reputed research organizations would be great opportunities that enable me to gain real-world research experience, enhance my technical and communication skills, gain new knowledge, and grow my professional network. Also, I do not want to just take from such an experience. I also want to give back by making meaningful research contributions to a STEM discipline. The "Sustainable Research Pathways" program is an excellent opportunity that would give me valuable experience and would propel me in the right direction for reaching my career goals. In today's world with intense competition, such internships often make the difference between an average career and a great career.