Today, I have the pleasure of speaking with Anish Verma. I first met Anish earlier this year; he was organizing the 2021 Undergraduate Big Data Challenge, through his role as the Chief Data Officer at STEM Fellowship. At STEM Fellowship, he leads the data science division, directing the organization's data analytics to improve internal operations, and he oversees the organization of the National Big Data Challenge program, empowering youth to use data science in an interdisciplinary setting. I know that my team and I felt highly motivated to continue our research as a result of our participation, and our mentorship from Anish. Anish is also a Quantitative Analyst for 1QBit, where he works to solve financial problems through quantum computing. From 2016 to 2019, Anish served as the Executive Editor and Journal Manager of the Science Undergraduate Research Journal at Simon Fraser University. He received his Bachelors of Science in Chemical Physics from Simon Fraser University in 2018, and continued to earn his Masters of Science in Theoretical Nuclear Physics from the University of Guelph a few months ago. In all of our past conversations, Anish has consistently led open and fun conversations on notoriously difficult concepts, and I am happy to say that this episode follows a similar trend. Below are links to the three papers references, written by Anish (and co-authors): "A Comparison of Text Sentiment and Market Sentiment US Treasury 10-Year Note Futures and Changes to Cash in Circulation using Sentiment Analysis and the CME Market Sentiment Meter": https://anishrverma.github.io/assets/... "Quantum Monte Carlo Methods and Its Application to Fermi Liquid Theory": https://anishrverma.github.io/assets/... "Collective and Single-Particle Degrees of Freedom in Rotating Nuclei": https://anishrverma.github.io/assets/... Here is Anish's Contact Information: LinkedIn: / anishrverma Personal Website: https://anishrverma.github.io