Elucidata, a disruptive integrated Omics company that uses its proprietary AI-enabled technology Polly Discover to assist in asset discovery, announced today the formation of a Scientific Advisory Board (SAB).

The board will include Dr. Richard Kibbey MD/Ph.D., Elucidata’s Scientific Co-Founder, Dr. Nick Pullen, Ph.D., and Dr. Avi Ma’ayan, Ph.D.

Dr. Abhishek Jha, CEO, Elucidata

“We are thrilled to have Dr. Pullen and Dr. Ma’ayan join our Scientific Advisory Board. Their leadership will help us expand the reach of our asset discovery offering, Polly Discover, and will power further innovation by breaking barriers in using biomedical data to drive decisions.”

Dr. Abhishek Jha, CEO, Elucidata

Chaired by Dr. Pullen, the SAB will bring together the expertise of scientists from the fields of drug discovery and computational biology. The SAB will work closely with Elucidata’s leadership to advance Polly Discover, particularly focusing on the roadmap and go-to-market strategy.

Dr. Pullen brings more than 20 years of experience working in the pharmaceutical industry with Pfizer, Roche and, more recently, Celgene. He has significant expertise in target identification and the prosecution of drug discovery programs from idea to clinical proof of mechanism, across broad disease, target, and physiological systems.

Dr. Nick Pullen, Executive Director, Celgene

“The Discovery playbook just keeps getting larger and Polly Discover has proven to be an exceptionally useful offering in de-convoluting large multi-parametric datasets for the purposes of target and biomarker discovery, as well as optimizing the potential of engineered cellular therapies. Realizing its broadest application, in conjunction with the expertise in Elucidata is the key goal of the SAB.”

Dr. Nick Pullen, Executive Director, Celgene

Dr. Ma’ayan is the Director of the Mount Sinai Center for Bioinformatics and an Endowed Professor of Bioinformatics in the Department of Pharmacological Sciences. Dr. Ma’ayan is also the Principal Investigator of the NIH-funded BD2K-LINCS Data Coordination and Integration Center and Mount Sinai Knowledge Management Center for Illuminating the Druggable Genome.

Dr. Avi Ma’ayan, Professor and Director, Mount Sinai Center for Bioinformatics

“This is an exciting time in biomedical research. We will see a shift toward data-driven science which undoubtedly will accelerate target, drug discovery, and new therapeutics development. Elucidata brings great expertise, innovation, and energy into this emerging field.”

Dr. Avi Ma’ayan, Professor and Director, Mount Sinai Center for Bioinformatics

Dr. Kibbey is a clinically active Associate Professor of Medicine (Endocrinology) and of Cellular & Molecular Biology at the Yale School of Medicine. He heads an independent NIH-supported laboratory studying whole-body and subcellular metabolism in the context of diabetes and cancer.

Dr. Richard Kibbey, Professor, Yale School of Medicine

“Elucidata has created a transformative offering, Polly Discover to free brilliant scientists for creative innovation rather than the mind-numbing and menial trudging through piles of raw data. There is so much ‘unused’ biologic Omic data out there. It is so rewarding to be in a position to capture, interpret, integrate and translate into potential therapies the already amassed troves of data, let alone the anticipated exponential explosion as next-generation technologies emerge.”

Dr. Richard Kibbey, Professor, Yale School of Medicine

About Elucidata Corporation
Elucidata was founded in 2015 with a mandate to transform the way biomedical data is used to drive decisions in R&D labs in both academia and industry. Elucidata’s long-term goal is to use artificial intelligence to enable the discovery of assets. Elucidata has offices in Cambridge, MA, San Francisco, CA, and New Delhi, India.

About Polly Discover
Polly Discover is Elucidata’s AI-enabled technology for the integration of biomedical data to enable translational researchers to discover therapeutic assets. Polly Discover combines disease-specific highly curated data lakes with proprietary ML frameworks to enable faster and better discovery of assets.

Originally posted on PRNewswire

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