Contact:
knaggita[at]gmail[dot]com
Contact:
knaggita[at]gmail[dot]com
I am currently on the job market, seeking postdoctoral / full-time applied research opportunities, focused on responsible and/or trustworthy human- and data-centric AI in Fall 2026!
I am a computer science PhD graduate from TTI-Chicago, where I had the privilege of being advised by Professors Avrim Blum and Matthew Walter. During the course of my PhD, I developed a strong combination of technical expertise, subject knowledge, and transferable skills that positions me to make meaningful contributions across various application areas focused on safe, trustworthy and responsible AI.
To illustrate the scope of methodologies employed, spanning theoretical modeling, empirical computation, large scale data analysis, and human subject experimentation, see the five selected publications below (more here).
ᵅ⁻ᵝBlum, A., Naggita, K., Walter, M., Wang, J., Revealing Positive and Negative Role Models to help People Make Good Decisions, TMLR'2026
Naggita, K., LaChance, J., A Case for Data Valuation Transparency via DValCards, AIES'2025
ᵅ⁻ᵝAttias, I., Blum, A., Naggita, K., Saless, D., Sharma, D., Walter, M., PAC Learning with Improvements, ICML'2025
Naggita, K., LaChance, J., Xiang, A., Flickr Africa: Examining Geo-Diversity in Large-Scale, Human-Centric Visual Data, AIES'2023
ᵅ⁻ᵝSchoeffer, J., Ritchie, A., Naggita, K., Monachou, F., Finocchiaro, J., Juarez, M., Online Platforms and the Fair Exposure Problem under Homophily, AAAI'2023