Leadership Team

The BioSymetrics leadership team possesses significant expertise and professional experience in data science, medicine, and healthcare technology. Our solutions are underpinned by cross-disciplinary capabilities in machine learning, predictive analytics, big data, bioinformatics, computational biology, advanced image processing, and health IT.

Gabe Musso PhD Chief Science Officer

Gabriel Musso, PhD

Chief Scientific Officer, Gabe@BioSymetrics.com
As CSO and head of Life Sciences, Gabe is expanding BioSymetrics’ scientific leadership in our key healthcare and biomedical markets for our Augusta™ platform, in areas such as biopharma R&D informatics, precision medicine, drug compound HTL generation, genomics, imaging and clinical diagnosis. Previously, Gabe was an Associate Scientist at Brigham and Women’s Hospital where his work focused on using machine learning frameworks to predict gene and small molecule function, and identification of disease-causal genes using large-scale genomic datasets. Gabe received his Ph.D. in Molecular Genetics from the University of Toronto. He also received his Masters of Science and undergraduate degrees from the University of Toronto.

Babak Afshin-Pour, PhD

VP Technology, Babak@BioSymetrics.com
As VP of Technology, Babak is a founding member of our engineering team, and leads technical development and product architecture of BioSymetrics’ machine learning platform. He has expertise in big data analytics, biomedicine, advanced medical signal and image processing, evaluation and optimizing of fMRI analysis techniques, graph theoretical network analysis, and analysis of multi-site neuroimaging data. His proposed analysis frameworks have been published in leading journals such as HBM, NeuroImage, and TMI. Babak received a B.S. in biomedical engineering as well as his M.S. and Ph.D. in electrical engineering from the University of Tehran with distinction. After earning his Ph.D., he completed a post-doctoral fellowship at Rotman Research Institute, University of Toronto.

Victoria Catterson, PhD

Principal Data Scientist, Victoria@BioSymetrics.com
Victoria is a Data Scientist with 14 years of experience in building and delivering machine learning solutions. She has worked on all aspects of the data science pipeline, from data cleansing and dimensionality reduction, to developing predictive and diagnostic models. She received the BEng (Hons) 1st class in computer and electronic systems, and the Ph.D. in electrical engineering with a focus on techniques for integrating diagnoses from multiple machine learning models. Previously she was a tenured Senior Lecturer at University of Strathclyde in Glasgow, Scotland. She has published over 20 peer reviewed journal articles, and is a Senior Member of the Institute of Electrical and Electronic Engineers. She has shown a longstanding commitment to science and engineering outreach, by working with school children to develop mobile apps and running machine learning workshops for Women Who Code Toronto.

Wendy Tsai

VP Business Development, Wendy@BioSymetrics.com

Wendy is responsible for managing and leading corporate deals and collaborations for Augusta™, our biomedical machine learning (ML) software platform. She has extensive experience in biopharmaceutical and health technology cross-functional team leadership, and has led several early-stage R&D and licensing deals. As co-founder of an oncology biotech formed from targeted cancer compounds developed at Duke University Medical Center, she managed all aspects of corporate development, business planning, BD and marketing. Prior to BioSymetrics, she consulted on enterprise IT and HIE projects; served as a Director in Clinical Quality and Outcomes at Inovalon Inc., a data analytics firm; and was a Product Manager in sales and marketing at Amgen. Wendy earned her M.B.A. from Kellogg at Northwestern University, and B.A. from Duke University.

Anatoly Likhatchev, CFA, MSc

VP Fintech, Tolik@BioSymetrics.com
Anatoly Likhatchev, CFA, MSc has 20 years of experience in consulting and business development in areas of finance, information technology, biotechnology, automated trading systems, e-commerce, human resources and manufacturing. He has extensive knowledge in technical trading on the stock markets, and devoted his Masters Thesis completed at McGill University in Montreal, Canada to developing automated trading systems using neural nets and genetic algorithms. At BioSymetrics, he has created a unique Financial Modeling Environment for the prediction of market moves. Anatoly is fluent in English and Russian languages, competent in French and Spanish, and has partial proficiency in several more languages (German, Italian, Portuguese, Dutch, Danish, Irish, Arabic, and Mandarin). He is a CFA charterholder (2018), and is currently an FRM Level I candidate.