Technical Reference

Hi, I’m Pranav! I am a final year machine learning masters student @ KTH Royal Institute of Technology. Broadly my interestes are in machine learning, visualization, systems and Human-AI Interaction especially the intersection of these areas. Currently I am exploring signal processing, computer vision/image analysis, nlp, and audio machine learning in creative applications(photography, video, music). In January 2026, I will be joining the Computational Aesthetics Group for my masters thesis Computer Labeling of Music Sound for Training Generative AI Models under the superivison of Hedvig Kjellström and Bob Sturm. Previously, I studied computer science and human-centered data computing at the University of Utah and Utah Scientific Computing and Imaging Institute.

This website originally started off as a google doc which became difficult to maintain so I decided to move it online inspired by the UCB HCI Prelim website. Most of the resources and links relate to my interests in machine learning and its applications in visual computing, Human-AI Interaction, systems (specifically for AIML) and math.

Special thanks to the following people and organizations:

Systems: Ryan Stutsman, Peter Jensen, Matthew Flatt, Jim Dowling

Visualization: Christopher R. Johnson, Bei Wang, Tamara Munzner, Alberto Cairo, Shirley Wu, Amelia Wattenberger, Connor Rothschild, Jaime Tanner, Tica Lin, Frank Elavsky, Andrew McNutt, Catherine Yeh, Martin Wattenberg, Fernanda Viegas, Jonathan Zong, Zhutian Chen, Enrico Bertini

Data(AIML, Math): Jeff Phillips, Varun Shankar, Thomas Henderson, Sean Groathouse, Sean McAfee, Eunice Jun, Michael Clemens, Austin Watkins, Trevor Manz, Hugh Zhang, Shivam Raval, Harald Melin, Johan Boye, Ansel Blume, Mårten Björkman, Hedvig Kjellström, Bob Sturm

Engineering: Joe Zachary, Liam Machado, Sam Zachary, William Li, Thomas Ady, James Wexler, Carl Thome, Stockholm AI

Creative Technology: EYEO Festival, Boston Tech Poetics, Kyung Yun Choi, Leslie Liu, Katherine Yang, Jake Chvatal

and lastly my friends/group project teammates for the resources, conversations, teaching, community, emails, mentorship, and late night debugging and deadline crunch sessions.

If you have any suggestions about what I should add or reorganize please reach out over email!