Who We Are

Kaarli Tasso, director of product management on the BRAIN Commons team is managing the adoption of the BRAIN Commons by target user personas and working to ensure these user personas have a high-quality experience.

Kaarli began her career as a physicist at Bell Labs, where her analysis of the electronic properties of silicon crystals changed the theory of corrosion. Since then, she has worked across a variety of verticals, including fintech, edtech, media and entertainment. Her focus has been on the many ways digital transformation can change how people interact with information and each other.

While driving transformation in the fintech space, she created the 3D Trading Floor for NYSE, which is a fully functional virtual world that provides a dynamic 3D view of shares and financial information. This system is updated every second in the interactive space and is a virtual reality milestone that has yet to be surpassed.

While working in entertainment, Kaarli built The Sunday Night NFL Special, which is a mobile companion to the television broadcast. This application earned the Communication Arts Award for Entertainment.

Kaarli has an A.B. cum laude in physics from Harvard College and was selected to be the IBM Fellow in the Yale Department of Applied Physics and Engineering.

Deepti Cole is an informatics professional with more than ten years experience in the governance of biological and clinical data, supporting research through translational science, and leveraging open-source bioinformatics applications to deliver innovative and customized solutions.

As a former Data Scientist at Clarivate Analytics/Thomson Reuters she led numerous projects specializing in data and web-services integration and analytical pipeline designs.  Her wide-ranging experience provides a balance of understanding the dynamics of operating in several fast-changing industries, along with the nuances of partnership rapport at all levels.

Deepti received her Master of Science degree in Bioinformatics from Boston University and began her career at Harvard and Partners Center for Genetics and Genomics, followed by The Jackson Laboratory.  In her free time she spends time with her family and trains and competes with the Greater Boston Track Club, where she aims to improve her current personal best marathon time of 3:06.

Lee Lancashire, PhD has over 15 years of experience in machine learning and statistics. His PhD was focused on the development of artificial neural network based methodologies where he was involved in many of the first applications of neural nets to high dimensional datasets in bioinformatics.

Prior to joining Cohen Veterans Bioscience, Lee spent over five years within the IP & Science business of Thomson Reuters where he established and led the machine learning and statistical data analysis team. Here he held global responsibility for managing and delivering analytical projects, serving the majority of the top 10 pharmaceutical companies, as well as government, academic and non-profit organizations. These projects focused on utilizing advanced machine learning approaches in the molecular profiling of disease for biomarker discovery, patient stratification and drug target identification.

Lee completed his post-doctoral research in Biostatistics and Bioinformatics at the Paterson Institute for Cancer Research, a Cancer Research UK core facility. He has also worked as a bioinformatics project lead in personalized medicine and diagnostics companies CompanDX and Almac Diagnostics. He has published in over 30 key industry journals and holds several patents around the use of neural networks in the biomedical domain.
In his free time Lee devotes time volunteering as a trustee for the Ichthyosis Support Group, a charity that supports individuals and families affected by a group of rare skin disorders.