Reva Bajjuri
About Reva Bajjuri
Reva Bajjuri is an R&D Intern specializing in Speech Biomarker Validation at Modality.AI, where she has contributed to ALS onset prediction and disease progression tracking. She has held various research roles at prestigious institutions, including UCLA and the University of Pittsburgh, while pursuing a Bachelor of Science in Neuroscience.
Work at Modality.AI
Reva Bajjuri currently serves as an R&D Intern focusing on Speech Biomarker Validation at Modality.AI. In this role, she has validated a multimodal model aimed at enhancing the prediction of ALS onset and tracking disease progression through speech analysis. She has also annotated a dataset consisting of 90 participant audio files using Praat to identify biomarkers. Additionally, she is actively engaged in writing a comprehensive report that details her research findings related to ALS.
Education and Expertise
Reva Bajjuri is pursuing a Bachelor of Science degree at the University of California, Los Angeles (UCLA), majoring in Neuroscience with a minor in Community Engagement and Social Change. She has been enrolled in this program from 2020 and is expected to graduate in 2024. Her academic background provides her with a solid foundation in neuroscience, which complements her research activities in the field.
Background in Research
Reva has accumulated diverse research experience across several institutions. She worked as a Research Assistant at the University of Pittsburgh Swanson School of Engineering for eight months in 2022-2023. Additionally, she held multiple positions at the David Geffen School of Medicine at UCLA, including Research Assistant and Laboratory Technician, both for ten months in 2021-2022. Currently, she is also a Research Assistant at UCLA's Henry Samueli School of Engineering and Applied Science, where she has been involved since 2022.
Previous Internships and Roles
Prior to her current role at Modality.AI, Reva Bajjuri worked as a Comprehensive Intern at the Boston Congress of Public Health, where she contributed for seven months in 2022-2023. She also served as the HPHR Journal Insights Podcast Host during the same period. Additionally, she gained experience as a Research and Development Intern at Palo for seven months in 2022-2023, further enhancing her skills in research and development.
Current Fellowship at Break Through Tech
Since 2023, Reva has been a Break Through Tech AI Fellow at UCLA. This fellowship provides her with the opportunity to further develop her skills in artificial intelligence and its applications, particularly in the context of technology and innovation in education. This role complements her ongoing academic pursuits and research initiatives.