Jaxen Dutta is a Master of Science student, in Digital Transformation & Innovation at the University of Ottawa's School of Engineering Design and Teaching Innovation, under the supervision of Dr. Harshit Rajaiya. His research focuses on natural language processing applied to financial texts and reports, with interests in pattern recognition, human-AI interaction, and healthcare technology, particularly how AI systems are designed and whether the people using them can actually understand and trust what they're doing. His association with the university also involves being a Graduate Research Assistant at the Telfer School of Management, and exploring ways to innovate at CRAiEDL.
His background spans software development, technical writing, and HCI research. Before graduate school, he documented APIs handling healthcare data standards at Google, built and automated software systems at OpenText, contributed to human-AI interaction research at the University of Waterloo's Cheriton School of Computer Science, and worked on systems modernization with the Government of Ontario's Ministry of the Attorney-General.
Jaxen built and maintains RGAP [Research Grant Analytics Platform], a platform to visualize funding patterns of the Canadian Tri-Agency (CIHR, NSERC, SSHRC) research grants. RGAP is hosted at rgap.anirban.ca. His other past personal projects include a mixed-interger linear programming platform to optimize regional electric vehicle supply equipment (EVSE) networks in Canadian census metropolitan areas, and a collection of React + Next.js websites.
He holds an Honours Bachelor of Computer Science from the University of Waterloo with a Software Engineering specialization and minors in Combinatorics & Optimization and Computational Mathematics.
In his free time, he can be found cat/dog-sitting, pushing commits to his website repositories, or catching critters on Animal Crossing: New Horizons.
More of him can be found at anirban.ca.
.png)