Abhishek Hosamath
About Abhishek Hosamath
Abhishek Hosamath is a data scientist with an MBM and a BE degree. He has contributed to various research projects focused on psychometric properties in autism, digital biomarkers for ALS, and cognitive issues in Parkinson's Disease.
Work at Modality.AI
Abhishek Hosamath serves as a Data Scientist at Modality.AI. In this role, he focuses on developing and analyzing data-driven solutions in the field of multimodal interaction and affective computing. His work contributes to advancing understanding and applications in areas such as autism and neurodegenerative diseases.
Education and Expertise
Abhishek holds a Master of Business Management (MBM) and a Bachelor of Engineering (BE) degree. His educational background equips him with a strong foundation in both technical and managerial aspects of data science, enabling him to effectively bridge the gap between data analysis and practical applications in healthcare.
Background
Abhishek has a background in research focused on the intersection of technology and health. He has worked on various projects that investigate the psychometric properties of dialog-based tasks, contributing to the understanding of affect production in individuals with autism. His research interests include cognitive assessment and digital biomarkers.
Achievements
Abhishek co-authored a study published in the journal Neurology: Clinical Practice, highlighting his contributions to the field of neurology. He also contributed to research on multimodal digital biomarkers for Amyotrophic Lateral Sclerosis (ALS) and participated in a study presented at the Motor Speech Conference 2024, showcasing advancements in speech and language assessment.
Research Contributions
Abhishek has been involved in significant research projects, including a study on computational linguistics analysis of cognition-related problems in Parkinson's Disease patients. He is also engaged in research on scalable remote assessment of mild cognitive impairment, aiming to enhance the evaluation methods for cognitive health.