ÂÜÀòÂÒÂ×

Tom T. has a strong background in data science and machine learning. Tom has worked as a Lead Data Scientist at Biorelate Ltd., focusing on natural language processing (NLP) since February 2023. Prior to that, they worked at Avant Arte as their first data scientist, using data to unlock value across the business from January 2022 to December 2022.

Tom also has experience as a Machine Learning Team Lead (NLP) at Adarga Limited, where they led a team focusing on information extraction from raw text using large language models. Tom'sresponsibilities included developing knowledge graphs and supporting sales and marketing efforts through workshops, talks, and content creation. Tom worked at Adarga Limited from May 2019 to January 2022.

Before Adarga Limited, Tom was a Machine Learning Team Lead at a stealth startup in the healthtech industry, where they were responsible for deploying ML algorithms into production and building CI/CD infrastructure. Tom worked in this role from September 2018 to May 2019.

Tom also has experience at MathWorks, where they worked as a Software Engineer - Clouds & Clusters and a Sales Engineer - Data Science. In these roles, they provided consulting, training, and trusted advice to technical leads in customer organizations, and worked across industries such as biotech, automotive, finance, aerospace, and energy. Tom worked at MathWorks from December 2015 to September 2018.

Before MathWorks, Tom worked as a Mathematical Modelling Consultant at Frazer-Nash Consultancy, delivering research and development projects to government and defense clients. Tom also supported business development through bid and pitch writing. Tom worked at Frazer-Nash Consultancy from May 2014 to December 2015.

Tom's work experience also includes their time as a PhD candidate at the University of Bristol, where they focused on synthetic biology and applied maths. Tom developed an algorithm that allows genetic engineers to design cellular clocks that continue functioning even with genetic mutations. Tom presented their work at international conferences and won the iGEM prize for genetic engineering. Tom'sPhD was from November 2010 to October 2014.

Tom T. started their education in 2005 at The University of Manchester, where they pursued a degree in Physics, which they completed in 2009. In 2007-2008, they attended the University of California, Santa Cruz as part of an exchange program for their Physics studies. Continuing their education, Tom enrolled at the University of Bristol in 2009 and obtained a Master's degree by Research in Complexity Science (Applied Mathematics) in 2010. Tom then pursued a Doctor of Philosophy (Ph.D.) in Complexity Science (Synthetic Biology) at the same university from 2010 to 2014. In order to expand their skills in web development, they attended Udemy Academy in 2018 for a Bootcamp course on Full Stack Web Development. In 2019, they further enhanced their knowledge in Backend Web Technologies by completing the REST APIs with Flask and Python course at Udemy Academy.