Zachary Carpenter, Ph.D.
About Zachary Carpenter, Ph.D.
Zachary Carpenter, Ph.D., serves as the Head of Computational Discovery at Roivant Sciences and is the Founder and CEO of VantAI. He has a strong background in computational biology and bioinformatics, with previous roles at QuantumBlack and McKinsey & Company.
Current Role at Roivant Sciences
Zachary Carpenter, Ph.D., serves as the Head of Computational Discovery at Roivant Sciences. In this role, he has been instrumental in expanding the boundaries of in silico methodologies, utilizing advanced computational techniques to drive innovation within the organization. His focus on computational discovery aligns with Roivant's mission to transform drug development through technology.
Previous Experience at VantAI
Since 2019, Zachary Carpenter has also held the position of Founder and CEO at VantAI. His leadership in this role emphasizes his commitment to advancing computational biology and bioinformatics. His experience at VantAI complements his work at Roivant Sciences, allowing him to integrate insights from both organizations to enhance computational discovery efforts.
Work History at McKinsey & Company
Prior to his current roles, Zachary Carpenter worked at McKinsey & Company as an Engagement Manager from 2014 to 2019. During his five years there, he contributed to various projects that required analytical rigor and strategic insight, further developing his expertise in computational methodologies.
Educational Background in Computational Biology
Zachary Carpenter earned his Doctor of Philosophy (Ph.D.) in Genome Sciences/Genomics from Columbia University, completing his studies from 2009 to 2014. He also achieved a Master of Philosophy (MPhil) in Computational Biology and Bioinformatics at the same institution from 2010 to 2012. His educational background provides a strong foundation for his work in computational discovery.
Expertise in Induced Proximity Systems
Zachary Carpenter has developed expertise in induced proximity systems, a cutting-edge area in computational biology. This specialization enhances his ability to leverage computational techniques for innovative solutions in drug discovery and development, contributing to advancements in the field.