About Me
Shovito Barua Soumma is a Ph.D. candidate at Arizona State University (ASU), hailing from Bangladesh. He holds an M.S. in Biomedical Informatics & Data Science from ASU (May 2025) and is concurrently pursuing an M.S. in Computer Science. He currently works as a Graduate Research Associate at Embedded Machine Intelligence Lab (EMIL) led by Dr. Hassan Ghasemzadeh.
His research lies at the intersection of AI, digital health, wearable sensing, and human-centered computing. He develops AI systems that integrate multimodal sensor data, large language models (LLMs), agentic AI, and mobile technologies to support health monitoring, personalized interventions and real-world decision-making. His interests include foundation models, sparse-longitudinal time-series learning, human behavior modeling, and translating AI innovations into practical healthcare applications.
Shovito has led and contributed to multiple NSF- and NIH-funded research initiatives, developing multimodal sensing protocols, data collection platforms, and AI-driven health technologies. His work has resulted in patents, peer-reviewed publications, publicly available research tools, and technology commercialization efforts supported by the NSF I-Corps program. In Summer 2026, he is an AI Intern at St. Jude Children’s Research Hospital, where he is contributing to applied machine learning research in a healthcare setting.
Prior to his graduate studies, Shovito worked as a Software Engineer at IQVIA, a fortune 500 healthcare tech company. He also served as an Adjunct Lecturer at East Delta University. He received his Bachelor’s (B.Sc.) in Computer Science and Engineering from Bangladesh University of Engineering & Technology (BUET) in May 2022.
Outside the realm of academia, Shovito is an avid outdoor enthusiast. In his leisure time, he enjoys socializing with friends and family, and he is always eager to try new culinary delights.
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- Name Pronunciation (He/Him/His): Sho-vee-tow (Shovito) Bo-ruu-aa (Barua) Showmmo (Soumma).
Shovito means embellished in Bangla.
- Deep Learning
- LLM and Foundation Model
- Agentic AI
- Explainable AI
- Human Behavior Modeling
- Mobile Health
- Wearable Sensors
Ph.D. in Biomedical Informatics & Data Science, Aug 2023 - Present
Arizona State University
CGPA: 4.00/4.00
MS in Computer Science, Aug 2025 - Present
Arizona State University
Current CGPA: 4.00/4.00
MS in Biomedical Informatics & Data Science, May 2025
Arizona State University
CGPA: 4.00/4.00 (with distinction)
B.Sc. in Computer Science & Engineering, 2017 - 2022
Bangladesh University of Engineering and Technology (BUET)
Experience
I am currently working on creating an adaptive system for Parkinson’s Disease (PD) management using wearable tech and machine learning.
PI: Dr. Hassan Ghasemzadeh
Co PIs: Dr. Daniel Peterson, Dr. Shyamal Mehta (MD)
CPS This research addresses the challenges of designing high-performance systems in uncontrolled environments, enabling accurate monitoring and interventions across a wide range of applications beyond behavioral medicine.
PI: Dr. Hassan Ghasemzadeh
Co PIs: Dr. Naomi Chaytor, Dr. Michael J. Cleveland
- BMI 201 Introduction to Clinical Informatics (Spring 2024), Course Instructor: Dr. Marcela Aliste
- BMI 502 Foundations of Biomedical Informatics Methods I (Fall 2024), Course Instructor: Dr. Hassan Ghasemzadeh
- BMI 310: App Development for Clinical & Population Health (Spring 2025), Instructor: Shovito B Soumma For more details on the courses, please visit this page.
Taught undergraduate courses. I have also designed substantial study materials and lab assignments for these courses.
Summer 2022:
- CSE 321, CSE 322 (Computer Graphics Theory, Computer Graphics Lab)
- Various math courses, including Differential Calculus, Vector Analysis, and Coordinate Geometry.
Fall 2022:
- CSE 463 Machine Learning
- CSE 221, CSE 222 (Algorithms Theory, Algorithms Lab)
