Sumit Middha, PhD

Senior Director, Head Of Bioinformatics & Data Science @ Adaptimmune

About Sumit Middha, PhD

Sumit Middha, PhD, serves as the Senior Director and Head of Bioinformatics & Data Science at Adaptimmune since 2021. He has extensive experience in computational biology, having held significant positions at Memorial Sloan Kettering Cancer Center, Daiichi Sankyo, and Mayo Clinic.

Work at Adaptimmune

Sumit Middha serves as the Senior Director and Head of Bioinformatics & Data Science at Adaptimmune since 2021. In this role, he leads initiatives related to bioinformatics and data science, focusing on high throughput big data analytics for clinical genomics. His expertise contributes to the company's efforts in precision medicine and drug discovery.

Previous Experience in Computational Biology

Before joining Adaptimmune, Sumit Middha worked at Memorial Sloan Kettering Cancer Center as a Principal Computational Biologist from 2014 to 2019. He also held the position of Head of Data Science at Daiichi Sankyo, Inc. from 2019 to 2021. His experience includes significant roles that emphasize data science and computational biology in clinical settings.

Educational Background

Sumit Middha earned his Doctor of Philosophy (PhD) in Biomathematics, Bioinformatics, and Computational Biology from the University of Minnesota. He also holds a Master of Science (MS) in Bioinformatics from Indiana University Bloomington. His educational background provides a strong foundation for his work in bioinformatics and data science.

Career Development and Leadership Roles

Sumit Middha has held various leadership roles throughout his career. He was the Vice President of Project Development at the Association for India's Development from 2003 to 2007 and served as the Lead of Informatics and Associate Professor at Mayo Clinic from 2007 to 2014. These roles highlight his long-standing commitment to project development and informatics in healthcare.

Professional Interests and Engagement

Sumit Middha has a professional interest in drug discovery and engages in innovation within computational biology and precision medicine. He is active on social media, particularly on Twitter under the handle @bioinfosm, where he shares insights and developments related to his field.

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