Ella Miray Rajaonson

University of Toronto — Canada

Engineering · Physical Sciences

5h-index437citations14works31.22yr avg
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Research Topics

Innovative Microfluidic and Catalytic Techniques Innovation(4), Computational Drug Discovery Methods(3), Machine Learning in Materials Science(3), Scientific Computing and Data Management(3), Olfactory and Sensory Function Studies(2)

Publications14 total

Does this smell the same? Learning representations of olfactory mixtures using inductive biases
Machine Learning Science and Technology·2025· 1 citedOpen Access
Boosting the predictive power of protein representations with a corpus of text annotations
Nature Machine Intelligence·2025· 2 cited
Machine learning-assisted exploration of multidrug-drug administration regimens for organoid arrays
Science Advances·2025· 5 citedOpen Access
Bayesian Optimization Hackathon for Chemistry and Materials
2025· 1 citedOpen Access
CheMixHub: Datasets and Benchmarks for Chemical Mixture Property Prediction
arXiv (Cornell University)·2025Open Access
One Set to Rule Them All: How to Obtain General Chemical Conditions via Bayesian Optimization over Curried Functions
ArXiv.org·2025· 2 citedOpen Access
From Molecules to Mixtures: Learning Representations of Olfactory Mixture Similarity using Inductive Biases
arXiv (Cornell University)·2025Open Access
Self-Driving Laboratories for Chemistry and Materials Science
Chemical Reviews·2024· 342 citedOpen Access
Boosting the Predictive Power of Protein Representations with a Corpus of Text Annotations
2024· 1 citedOpen Access
Self-Driving Laboratories for Chemistry and Materials Science
2024· 6 citedOpen Access
In Silico Chemical Experiments in the Age of AI: From Quantum Chemistry to Machine Learning and Back
Advanced Materials·2024· 57 citedOpen Access
In silico chemical experiments in the Age of AI: From quantum chemistry to machine learning and back
2024· 1 cited
In silico chemical experiments in the Age of AI: From quantum chemistry to machine learning and back
2024· 2 citedOpen Access
Self-Driving Laboratories for Chemistry and Materials Science
2024· 17 citedOpen Access

Frequent Co-authors

Alán Aspuru‐Guzik(9), Gary Tom(8), Sergio Pablo‐García(7), Stanley Lo(6), Stefan P. Schmid(5), Marta Skreta(5), Felix Strieth‐Kalthoff(5), Shi Xuan Leong(5), Sterling G. Baird(4), Samantha Corapi(4), Yang Cao(3), Kourosh Darvish(3), Han Hao(3), Naruki Yoshikawa(3), Gun Deniz Akkoc(3), Martin Seifrid(3), Abdulrahman Aldossary(3), Jorge A. Campos-Gonzalez-Angulo(3), Luca Thiede(3), Andrew Z. Wang(3)