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Manish Sharma, PhD, has a diverse range of work experience in both industry and academia. In their current role as Team Lead Machine Learning at Calpion Inc., they utilize artificial neural networks and image processing to predict gain of function mutations in proteins. Prior to this, they served as the Lead Data Scientist at DLPL, where they established and led a Data Science team that developed industry-first AI solutions for the medico-health domain using deep neural networks.

Before transitioning to industry, Manish worked as a SNSF Postdoctoral Fellow at the University of Waterloo, where they conducted research in their field. Manish also held positions as a Postdoctoral Researcher and Research Assistant at the University of Geneva, where they gained valuable research experience.

In addition to their academic and industry work, Manish co-founded Square Hoot Hikes Pvt Ltd (Rutogo) and served as a Co-Founder from 2013 to 2015. Manish also gained software development experience as an Associate Software Developer at FlexTrade, where they developed execution algorithms using C++.

Manish's work experience began with an internship at Freie Universität Berlin in 2010 and a role as General Secretary at H13 IIT B from 2009 to 2010. These early experiences demonstrate their dedication to learning and leadership. Overall, Manish Sharma, PhD, brings a wealth of knowledge and expertise to their current role in machine learning and data science.

Manish Sharma, PhD, has an extensive education history in the field of chemistry. Manish started their educational journey at Sacred Heart Convent School, although the specific start and end years for this period are unavailable. After completing their schooling, Manish pursued an Integrated Masters degree in Computational Chemistry from the Indian Institute of Technology, Bombay. This program lasted from 2006 to 2011.

Driven by a passion for physical chemistry, Manish went on to earn a PhD from the University of Geneva. Manish studied and conducted research in the field of Physical Chemistry from 2013 to 2017. Following their doctoral studies, Manish continued to expand their expertise by enrolling in the Material Science program at the University of Waterloo from 2018 to 2020. While the degree name for their studies at the University of Waterloo is not specified, it is evident that their focus was on Material Science.

Overall, Manish Sharma has a diverse range of educational experiences, with a background in computational and physical chemistry, and an interest in material science.