Nico Schiavone

I am an M.Sc. student in the Department of Computer Science at the University of Toronto, advised by Sheila McIlraith and Eldan Cohen. I am interested in multi-agent systems and cooperation. Currently working on problems in cooperative AI and at the intersection of computer science, statistics, and economics.

In 2024, I graduated Mathematics and Engineering Physics at the University of Alberta. I was fortunate to be advised by Xingyu Li, Frank Marsiglio, and Tian Tang.

In the past, I was an internal tools software engineer at TELUS and a physics researcher at TRIUMF. Most days, I enjoy drawing, writing, lifting, and mixing house. I'm also currently working on a comic.

In Summer 2025, I will be interning at Microsoft, working on Copilot Agents.

If you are interested in my work or just want to chat, feel free to reach out by any avenue.

cv  /  email  /  github  /  scholar  /  linkedin

/ uniqlo /  substack

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Research
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Reinforcement Learning with Generative Models for Compact Support Sets


Nico Schiavone, Xingyu Li
arXiv, 2024
arxiv / code /

In this work, we propose a framework utilizing reinforcement learning as a control for foundation models, allowing for the granular generation of small, focused synthetic support sets to augment the performance of neural network models on real data classification tasks.
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MyriadAL: Active Few Shot Learning for Histopathology


Nico Schiavone, Jingyi Wang, Shuangzhi Li, Roger Zemp, Xingyu Li
IEEE Conference on Artificial Intelligence, 2024
arxiv / code /

Oral Presentation (Top ~5% of Accepted Papers). In this study, we address this issue in the scenario where the annotation budget is very limited, yet a large amount of unlabelled data for the target task is available. We frame this work in the context of histopathology where labelling is prohibitively expensive.



Other Projects
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UNIQLO Web Scraper


personal
2024-06-14
code /

A web scraping project using Scrapy and Playwright, developing into a command-line tool for easy shopping on ecommerce sites. Check it out here.
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HUGINN


personal
2024-05-01
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Autonomous retrieval drone made for a capstone project. Utilizes ROS and YOLOV8 to autonomously find the object of choice, and magnetic grippers to pick it up.

Ubiquitous researcher template from Jon Barron's website