Jaxen Dutta is an thesis-based Master of Science student in Digital Transformation & Innovation at the University of Ottawa, which is a surprisingly cool-sounding degree for someone who spends most of his time making computers talk to each other and then writing about it.
His research interests sit at the intersection of human-AI interaction, UX, and healthcare technology. Essentially, he wants AI systems to be not just capable, but trustworthy, ethical, and something a real human can actually make sense of. He's particularly interested in how design choices shape the way people relate to AI, and whether those choices are being made thoughtfully or just shipped fast.
His resume reads like someone who couldn't pick a lane: he's been a technical writer, a software developer, a QA engineer, an HCI researcher, and a government systems engineer... sometimes within the same calendar year. The common thread, if you squint, is a deep obsession with how technology and humans interact, and a suspicion that both could be doing a better job.
His past experiences include documenting healthcare APIs at a little company called Google, saving translation costs by automating workflows nobody wanted to manually maintain, and optimizing an entire regional EV charging network using math so spicy it required its own specialized solver. He also built RGAP, a platform to analyze funding patterns of the Canadian Tri-Agency (CIHR, NSERC, SSHRC) research grants. Check it out on rgap.anirban.ca.
Jaxen holds an Honours BCS from the University of Waterloo with a Software Engineering specialization, two math minors, and an inability to leave a poorly designed interface without an opinion about it.
His fun side-projects for when he's bored can be found at anirban.ca.
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