Aristides Milios

Bio

My name is Aristides Milios, and I'm a highly motivated machine learning researcher passionate about the intersection between Natural Language Processing (NLP) and Machine Learning, specifically about investigating the reasoning and few-shot capabilities of Foundation Models (e.g. GPT-3, OPT, etc.), especially when paired with smaller retrieval-style models. I am also passionate about promoting entrepreneurship and design thinking education, at both the secondary and tertiary level.

In high school, I co-founded a startup called Bitness.io, which went through the Launch36 and Propel ICT accelerator programs in Atlantic Canada, and used WiFi beacons to track customers through brick-and-mortar stores and provide Google-Analytics-style analytics to store owners.

As part of my efforts to promote entrepreneurship and design thinking education, I jointly co-founded Hoist Halifax, a club with monthly workshops for teens who are interested in technology and entrepreneurship. I was involved in promoting entrepreneurship and design thinking at Dalhousie University for the duration of my studies, going through the rigorous University Innovation Fellows program, organized by Stanford's d.school of Design, and becoming a Fellow of the program at Dalhousie. As co-president of the Dalhousie Entrepreneurship Society, I organized a series of design thinking workshops on campus, open to students of all faculties.

As part of my undergrad, I did two research internships at MarineTraffic Inc. (summer 2018 and winter 2019), in Athens, Greece, researching the fusion of AIS ship tracking data and radar-based satellite imagery, in cooperation with the Institute for Big Data Analytics at Dalhousie University.

In the fall of 2019, I completed an internship at the Know-Center research institute in Graz, Austria, doing research into Active Learning and an interactive feedback-driven network traffic dataset labelling tool. I completed my Bachelor of Computer Science with First Class Honours at Dalhousie in August of 2020. For a year I did a combination of TA work and research work at Dalhousie under professors from my undergrad. In September of 2021, I began an M.Sc. degree in Computer Science at McGill University/MILA in Montreal, under Dr. Siva Reddy. As of Sept. 2022, I'm also being co-supervised by Dr. Dzmitry Bahdanau.

Publications

Most recent publications on Google Scholar.
^‡ indicates equal contribution.

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Timeline

Full resume linked here.

• McGill University/MILA 2021 - now

  M.Sc. student
  Research into reasoning capabilities of large LMs
• Dalhousie University 2020 - 2021

  Researcher
  Research into time series and social media analytics
• Dalhousie University 2020 - 2021

  Teaching Assistant
  TAed for several courses
• Know-Center GmbH Fall 2019

  Research intern
  Researched active Learning techniques for Recommender Systems, RNNs with Attention
• MarineTraffic Inc. Summer 2018, Winter 2019

  Research intern
  research involving fusion of AIS data streams and radar and optical-based satellite imagery for better maritime awareness
• Dalhousie University 2016 - 2020

  Undergraduate student
  Graduated with First Class Honours, 4.13/4.3 GPA. Honours thesis on optimal use of BERT embeddings for downstream tasks.