Varun Gupta
About Varun Gupta
Varun Gupta is a Research Intern at Yale University, where he has worked since 2022. He has a strong background in algorithmic trading and competitive programming, holding the title of 'Master' on Codeforces.
Current Role at Yale University
Varun Gupta is currently serving as a Research Intern at Yale University, a position he has held since 2022. In this role, he engages in research activities that align with his interests in algorithmic trading and quantitative research. His tenure at Yale University reflects his commitment to advancing his knowledge and skills in a prestigious academic environment.
Previous Research Experience
Prior to his current role, Varun Gupta gained valuable experience as a Research Intern at UC Santa Barbara in 2021, where he worked for three months. He also interned at Indraprastha Institute of Information Technology, Delhi, from 2020 to 2021 for two months. Additionally, he was a Quantitative Research Intern at Quantbox Research for two months in 2022, based in Bengaluru, Karnataka, India. These positions contributed to his expertise in research methodologies and quantitative analysis.
Educational Background
Varun Gupta completed his Bachelor's degree in Computer Science at the Indian Institute of Technology, Roorkee, from 2019 to 2023. His education provided a strong foundation in computer science principles, algorithms, and mathematics, which are essential for his research interests and professional pursuits.
Programming and Algorithms Group Involvement
Since 2019, Varun Gupta has been involved with the Programming and Algorithms Group in Roorkee, Uttarakhand, India, where he has worked as a Programmer for five years. This role has allowed him to apply his programming skills and deepen his understanding of algorithms, further enhancing his capabilities in quantitative research.
Competitive Programming Achievements
Varun Gupta has a strong background in competitive programming, evidenced by his designation as 'Master' on Codeforces. This achievement highlights his proficiency in problem-solving and algorithmic thinking, which are critical skills in both competitive programming and quantitative research.