Scholar
Margarita Geleta
Google Scholar ID: jv-xu10AAAAJ
University of California, Berkeley
Citations & Impact
Citations
98
H-index
6
i10-index
4
Publications
12
Co-authors
0
Publications
Resume
Academic Achievements
- Presented 'Inferring continuous population structure coordinates along the genome' at ASHG 2025 (Boston, MA); preprint available for 'Autoencoders for genomic variation analysis'; presented 'Generative moment matching networks for genotype simulation' at IEEE EMBC 2022; 'Pedigree-aware genotype simulation' not public; developed AudioMiXR, an augmented reality interface for assessing how users manipulate virtual audio objects using six degrees of freedom on a head-mounted display (Apple Vision Pro).
Research Experience
- Led research projects at the Berkeley AI Research laboratory and the Stanford Department of Biomedical Data Science; joined Microsoft Research's audio & acoustics research group and was appointed Lead TA in VR and Immersive Computing at UC Berkeley in 2025; interned as a sound tech researcher at Dolby Laboratories' Advanced Technology Group and as an applied scientist at Amazon's Home Innovation Team, specializing in large-scale generative models and GAN inversion.
Education
- Currently pursuing a PhD in Computer Science at UC Berkeley and working as Research Staff at Stanford University under the guidance of Dr. Alexander G. Ioannidis and Dr. Nilah M. Ioannidis.
Background
- An AI/HCI researcher and artist with a multifaceted research background in audio + spatial computing and AI/ML for population genetics. Has a lifelong passion for genealogy.
Miscellany
- Third-generation audiophile; co-organized dozens of tech workshops, hackathons, career fairs, and conferences; involved in audio mixing in augmented reality and PCB/GPU fashion design.