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Latest papers
Machine learning framework to extract physicochemical features of B-cell epitopes recognized by a cross-reactive antibody.
NPJ systems biology and applications · 2025
Integrating machine learning to advance epitope mapping.
Frontiers in immunology · 2024
Latest funding
- $61,000
Financial markets, information extraction, and artificial intelligence
SSHRC · 2022 · Co-investigator
- $28,500
Financial markets, information extraction, and artificial intelligence
SSHRC · 2022 · Co-investigator
- $116,000
Privacy in Machine Learning: Scalability and Limits
NSERC · 2021 · Principal investigator
2 publications.
Machine learning framework to extract physicochemical features of B-cell epitopes recognized by a cross-reactive antibody.
Grewal S, Iyamu U, Vinals DF, Mitran CJ, Hegde N, Yanow SK
Integrating machine learning to advance epitope mapping.
Grewal S, Hegde N, Yanow SK
Financial markets, information extraction, and artificial intelligence
Principal investigators: Avdis, Efstathios
Keywords: finance; financial economics; financial markets; information extraction; artificial intelligence; natural language processing; privacy; machine learning; financial mathematics
Financial markets, information extraction, and artificial intelligence
Principal investigators: Avdis, Efstathios
Keywords: finance; financial economics; financial markets; information extraction; artificial intelligence; natural language processing; privacy; machine learning; financial mathematics
Privacy in Machine Learning: Scalability and Limits
Principal investigators: Hegde, Nidhi
Keywords: privacy; machine learning; differential privacy; fairness
Privacy in Machine Learning: Scalability and Limits
Principal investigators: Hegde, Nidhi
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
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