Valeria Kogan

Valeria Kogan has a diverse work experience in the fields of AgTech, biotech, cancer research, aging, and bioinformatics. Valeria is currently the CEO and Founder of Fermata, an AgTech company focused on AI-based solutions for plant monitoring in greenhouses. Prior to that, they were the Chief Innovation Officer and Founder of Fermata, and their role involved early disease identification, pest detection, and plant growth control. Before Fermata, Valeria was the Co-Founder of SmartOmica, a biotech start-up developing AI-based solutions for Personalized Medicine.

Valeria also worked as an Adjunct Scientist at Roswell Park Cancer Institute, where they contributed to research on retroelements' role in cancer and aging. Valeria established a computational pipeline for identifying retroelements integrations in mammalian DNA. Earlier in their career, Valeria worked at GERO as a Project Manager, leading a team focused on developing AI-based biomarkers of aging. Valeria also worked as a Research Scientist at GERO, specializing in applying machine learning to aging research.

Additionally, Valeria worked as a Bioinformatician at the Institute of Physical and Chemical Medicine, where they conducted research on the H. Pylori genome and its association with drug response.

Throughout their career, Valeria has worked with interdisciplinary teams of scientists, data scientists, and physicians to bridge the gap between cutting-edge science and clinical practice. Valeria'sexpertise lies in utilizing machine learning and computational techniques to advance research and develop practical solutions in various domains.

Valeria Kogan's education history begins in 2010 when they enrolled at the Moscow Institute of Physics and Technology (State University) (MIPT) to pursue a Bachelor of Science (B.Sc.) in Applied Mathematics and Physics. Valeria completed their undergraduate degree in 2014.

Following their bachelor's degree, Valeria continued their education at MIPT and obtained a Master of Science (M.Sc.) in Applied Mathematics and Physics from 2014 to 2016.

In 2017, Valeria enrolled at Ariel University, where they pursued a Doctor of Philosophy (PhD), although the field of study is not specified. Valeria completed their PhD in 2021.

In addition to their formal education, Valeria also obtained various certifications. In 2014, they completed a course on high-performance computational methods and their applications to problems of modern biology and medicine from Innopolis University. In 2016, they obtained a certification in diagnostics development and approval from BioTech Primer Inc. Valeria also completed courses on budgeting and scheduling projects, initiating and planning projects, and managing project risks and changes from Coursera.

During 2017, Valeria completed several online courses, including "Introduction to Data Science in Python" from Coursera Course Certificates, "Epigenetic Control of Gene Expression" from Coursera Course Certificates, "Introduction to Natural Language Processing" from Udemy, and "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization" from Coursera.

In 2018, Valeria obtained a certification in "Understanding Clinical Research: Behind the Statistics" from Coursera. Valeria also completed courses in neural networks and deep learning, and structuring machine learning projects from Coursera, as well as a course in mathematical modeling in drug development from the Skolkovo Foundation.

In 2019, Valeria earned a certification in statistical analysis in bioinformatics (BIF003x: Statistical Analysis in Bioinformatics) from the University System of Maryland. In 2020, they obtained certifications in DNA sequences: alignments and analysis (BIF001x: DNA Sequences: Alignments and Analysis) and proteins: alignment, analysis, and structure (BIF002x: Proteins: Alignment, Analysis and Structure), both from the University System of Maryland. Valeria also completed the Micromasters in Bioinformatics program from the University of Maryland Global Campus.

Overall, Valeria Kogan has a comprehensive education background in applied mathematics, physics, and bioinformatics, further enhanced by various certifications in data science, project management, and specific bioinformatics domains.