Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 2


Data Scientist | YerevaNN Research Lab | Data Scientist
Projects:
• Learning representations of the chemical properties of Molecules:
– State-of-the-art in 8 prediction tasks out of 12,
– Advanced language models were applied, such as BART,
– Multiple biochemical datasets considered,
– Interpretability: predict toxic or soluble parts of the molecules,
– produce ZINC, USPTO and MoleculeNet datasets overlapping,
– preprint is available in arXiv:2211.16349.
• Heart arrhythmia (Brugada) detection from ECG
– ECG data is large, but the number of people is limited.
– Use invariant representations to remove patient-specific informa-
tion from the ECG and leave only essential information for disease
prediction.
– This method outperformed state-of-the-art methods on the ECG
data.
• Current project: Predict modifications of the given molecule, which
enhances the certain chemical property. Approach to drug discovery.