Maya Srikanth

Caltech CS & Business Economics Management '21
Incoming Stanford CS masters student


Papers

Dynamic Social Media Monitoring for Fast-Evolving Online Discussions

Maya Srikanth, Anqi Liu, Nicholas Adams-Cohen, Jian Cao, R. Michael Alvarez, Anima Anandkumar

Accepted to ACM SIGKDD (Special Interest Group on Knowledge Discovery and Data) Conference 2021

Finding Social Media Trolls: Dynamic Keyword Selection Methods for Rapidly Evolving Online Debates

Anqi Liu, Maya Srikanth, Nicholas Adams-Cohen, R. Michael Alvarez, Anima Anandkumar

Presented at the Neurips 2019 AI for Social Good Workshop.

Posters and Presentations

Society of Political Methodology Annual Conference 2020
Tracking Social Media Movements with Dynamic Keyword Algorithm, selected for presentation at Polmeth 2020.

Maya Srikanth, Anqi Liu, Nicholas Adams-Cohen, R. Michael Alvarez, Animashree Anandkumar

Presented at Society of Political Methodology's Annual Conference 2020.

Summer 2020.

ICML WiML Un-workshop 2020
Dynamic Algorithm for Social Media Troll Detection, selected for presentation at ICML 2020.

Maya Srikanth, Anqi Liu, Nicholas Adams-Cohen, R. Michael Alvarez, Animashree Anandkumar

Presented at ICML WiML Un-workshop 2020.

Summer 2020.

American Political Science Association Annual Conference 2020
Neural Conversational Chatbot to Combat Social Media Trolling, original proposal selected for presentation at APSA 2020.

Maya Srikanth, Anqi Liu, Nicholas Adams-Cohen, R. Michael Alvarez, Animashree Anandkumar

Presented at APSA 2020.

Summer 2020.

Midwest Political Science Association Annual Conference 2021
Predicting Social Media Discussion Trends with Artificial Intelligence

Maya Srikanth, Anqi Liu, Nicholas Adams-Cohen, R. Michael Alvarez, Animashree Anandkumar

Presenting at MPSA 2021.

Spring 2021.

Game Development Projects

Unity Horse Race
Simulation of historical horse race

Built for Caltech neuroeconomics lab run by Prof. Camerer

Spring 2020.

AR Data Visualization
AR Data Visualization Prototype

Used mesh generation and shaders to optimize data visualization in augmented reality.

December 2019.

ERT: Higher Education in VR
ERT Classroom

Helped engineer college classroom environment in VR. Presented and demoed environment at Educause Learning Initiative Conference 2019.

December 2018.

Teaching Experience

CS 162: Data, Algorithms, and Society (Caltech)
Undergraduate Teaching Assistant

Responsibilities included grading sets, syllabus planning, holding office hours, and assisting students with problem sets.

Winter 2021.






CS 171: Computer Graphics Laboratory (Caltech)
Undergraduate Teaching Assistant

Responsibilities included leading weekly recitation sections, grading coding projects, and holding weekly office hours.

Fall 2020.

Honors & Awards

Recipient of Caltech's 2021 Bhansali Family Prize in Computer Science for outstanding undergraduate research
Original NLP research proposal won honorable mention in 2021 NSF GRFP competition
Received Harvard NSF research grant winter 2021 for research in intersection of AI and social science

Media

Finding Social Media Trolls with Dynamic Keyword Selection
Authored medium article on latest research for the Trustworthy Social Media publication group.

Fall 2020.

2021 Inauguration on Twitter
Authored medium article on latest research for the Trustworthy Social Media publication group.

Winter 2021.





AI for #MeToo: Training Algorithms to Spot Online Trolls
Neurips 2019 research covered by Caltech news group.

Winter 2019.