Aparna Sankarankutty
About Aparna Sankarankutty
Aparna Sankarankutty is a Machine Learning Engineer with extensive experience in biomedical applications, currently working at Allurion Technologies. She holds a PhD in Bioengineering from the University of Utah and has previously worked in various engineering roles, including research positions at Biolexis Therapeutics and the University of Utah.
Current Role at Allurion Technologies
Aparna Sankarankutty is currently employed as a Machine Learning Engineer at Allurion Technologies. She has held this position since 2023 and has been contributing to the development of machine learning solutions within the organization for 11 months. Her role involves applying her expertise in machine learning to enhance the company's technological offerings.
Previous Experience in Engineering and Research
Prior to her current role, Aparna Sankarankutty worked at Biolexis Therapeutics, Inc. as a Research and AI Engineer for 7 months in 2023. She also served as a Research and Development Engineer at Xenter, Inc. from 2021 to 2022 for 1 year. Earlier in her career, she held the position of Assistant Manager at Mahindra & Mahindra from 2009 to 2010 for 1 year. Additionally, she worked as a Research Assistant at the University of Utah from 2016 to 2021 for 5 years.
Educational Background and Degrees
Aparna Sankarankutty has a comprehensive educational background in engineering. She earned her Bachelor of Technology (B.Tech) in Electrical & Electronics Engineering from Govt. Engineering College Thrissur, studying from 2005 to 2009. She then pursued a Master of Technology (M.Tech) in Biomedical Engineering at Motilal Nehru National Institute of Technology from 2011 to 2013. Furthering her education, she obtained a Doctor of Philosophy (PhD) in Bioengineering from the University of Utah, where she studied from 2016 to 2021.
Research Focus and Expertise
Aparna Sankarankutty specializes in image and signal processing, particularly within biomedical applications. Her research focuses on utilizing microscopic imaging and computation to investigate the relationship between microstructural changes in heart diseases and abnormal heart rhythms. This area of expertise highlights her commitment to advancing knowledge in biomedical engineering and improving healthcare outcomes.