Technical Reference

Hi, I’m Pranav! I am a second year machine learning masters student @ KTH. Broadly my interests are in machine learning, visualization, systems, and Human-AI Interaction especially the intersection of these areas. 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), math and nlp.

Special thanks to the following people and organizations:

Systems: Ryan Stutsman, Amir Payberah, Matthew Flatt, Peter Jensen

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

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

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

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

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!