Mathew Rogers
I am a data scientist in Montreal. Over the last few years, I have worked in machine learning, streaming data, and computer vision. My various roles have all included a significant software engineering component. My PhD is in number theory with a focus on conjectures relating to elliptic curves.
Experience
ChessWave
Founder and Engineer • 2023 — Present
Founded and built ChessWave, a chess analysis platform that scans physical and digital boards into analyzable games. Computer vision for board recognition, engine integration for deep analysis, and the surrounding product and infrastructure. Currently in pre-launch.
Shopify
Senior Data Scientist • 2021 — 2022
Implemented real time metrics for the Shopify platform. Joined and aggregated multiple Kafka streams using Scala and Apache Flink. Utilized various streaming data algorithms and test-driven development.
Via Science
Deep Learning Principal • 2018 — 2021
Data Scientist • 2017 — 2018
Projects involving machine learning, data science, and time-series forecasting in the energy sector.
- Implemented machine learning based data ingestion pipelines, in order to ingest heterogeneous smart meter data into a standardized schema.
- Fine-tuned and dockerized BERT based models for NLP related tasks.
- Contributed to federated learning, homomorphic encryption, and differential privacy projects.
- Prepared project proposals for clients.
Clemex Technologies
Machine Learning Scientist • 2015 — 2017
Extensive use of convolutional neural networks, OpenCV, and traditional computer vision while working in the microscope industry.
- Implemented and fine-tuned state-of-the-art convnets for image classification and segmentation.
- Created numerous datasets ranging from thousands to millions of images from scratch.
- Implemented and queried relational databases for handling training data.
MILA, Université de Montréal
Graduate Student • 2014 — 2015
Experience as a student working in the LISA lab (now MILA) developing Theano and Pylearn2. Completed a full set of graduate-level computer science courses.
Université de Montréal and CRM
Postdoctoral fellow • 2011 — 2013
Researcher at the Université de Montréal and the Centre de Recherches Mathématiques (CRM). Teaching duties at McGill University and Concordia University.
University of Illinois, Urbana-Champaign
NSF Postdoctoral Fellow • 2008 — 2011
Research position that successfully solved a 30 year old conjecture in pure mathematics using unexpected methods.
- Jointly developed the Rogers-Zudilin method for expressing L-values of elliptic curves as special values of regulators.
- Solved the Deninger-Boyd Mahler measure conjecture for conductor 15 elliptic curves.
- The approach is currently state-of-the-art in the area.
Max Planck Institute for Mathematics, Bonn
Visitor • 2009, 2010
Visiting researcher at the Max Planck Institute for one year.
Projects
Patents
2017 — 2021
- Secure data processing, MD Rogers, KC Cheung, J Taylor, US10972261
- Secure data processing, KC Cheung, J Taylor, M Rogers, C Gounden, US11038683
- Multiple data source secure data processing, KC Cheung, M Rogers, J Taylor, US11489659
Published Papers in Mathematics
2005 — 2013
Published 19 papers while working as a mathematician. A full list is available on Orcid or Google Scholar. Preprints are available on the arXiv.
Education
University of British Columbia
PhD, Mathematics • 2008
Graduated with a focus in analytic number theory and experimental mathematics. My work focused on conjectures involving L-values of elliptic curves. Math department nominee for Canada-wide thesis award.
Social Links
- Github: https://github.com/matrogers
- Twitter: http://twitter.com/matrogersmtl
- LinkedIn: https://www.linkedin.com/in/matrogers31