Manishi Pandey
About Manishi Pandey
Manishi Pandey is a Data Scientist at Benson Hill, where he has worked since 2019. He holds a PhD in Computational and System Biology from Washington University in St. Louis and has extensive experience in molecular biology techniques and data analysis.
Work at Benson Hill
Manishi Pandey has been employed at Benson Hill as a Data Scientist since 2019. In this role, he focuses on developing computational and statistical approaches to analyze multi-omics data layers, which include genotype, transcriptome, and metabolites. His expertise in data science contributes to the company's mission of advancing agricultural innovation through data-driven insights.
Education and Expertise
Manishi Pandey holds a Doctor of Philosophy (PhD) in Computational and System Biology from Washington University in St. Louis, where he studied from 2013 to 2019. He also earned a Master of Technology (MTech) in Bioinformatics from the Indian Institute of Information Technology, completing his studies from 2007 to 2009. Additionally, he obtained a Bachelor of Technology (B.Tech) in Biotechnology from the University of Rajasthan, where he studied from 2003 to 2007. His educational background equips him with a strong foundation in advanced molecular biology techniques and high-performance computing.
Background
Prior to his current role, Manishi Pandey gained valuable experience at Washington University in St. Louis. He worked as a Research Technician from 2012 to 2013 and as a Graduate Student from 2013 to 2019. During his time as a Graduate Student, he also served as a Teaching Assistant in 2014 and 2016 for four months each. In 2018, he completed a one-month internship at Bayer Crop Science in Saint Louis, further enhancing his practical knowledge in the field.
Technical Skills
Manishi Pandey is proficient in developing pipelines and workflows using programming languages such as Python and R, specifically in high-performance computing environments. His technical skills enable him to design and implement complex experiments and analyze large datasets effectively. He possesses extensive experience in advanced molecular biology techniques, which supports his work in data science and bioinformatics.