Avant-garde & experimental.

Margarita Geleta

[linkedin] [geleta (at) stanford (dot) edu]

Ms. Geleta is an AI/HCI researcher and artist based in San Francisco. With a multifaceted research background, spanning audio + spatial computing and AI/ML for population genetics, Ms. Geleta led research projects at the Berkeley AI Research laboratory and the Stanford Department of Biomedical Data Science. In 2025, she joined Microsoft Research audio & acoustics research group and got appointed as Lead TA in VR and Immersive Computing at UC Berkeley. Previously, Ms. Geleta interned as a sound tech researcher at Dolby Laboratories at the Advanced Technology Group, and as an applied scientist at Amazon's Home Innovation Team, specializing in large-scale generative models and GAN inversion.

Currently, I'm pursuing my computer science PhD at UC Berkeley and working as Research Staff at Stanford University on AI applied to population genetics under the guidance of Dr. Alexander G. Ioannidis and Dr. Nilah M. Ioannidis.

Ancestry & population genetics research [gscholar]



Genealogy has been my life-long passion, motivating me to pursue a PhD and reconnect with my extended family. My PhD thesis focuses on ancestry inference and investigative genetic genealogy, while my master’s thesis explored genotype simulation conditioned on pedigrees. Currently, I am interested in applying AI/ML techniques to enhance kinship prediction. If you think we are distant cousins, send me an e-mail.

Inferring continuous population structure coordiantes along the genome. A new paradigm for ancestry inference. Presented at ASHG 2025 (Boston, MA). [Under review]

Autoencoders for genomic variation analysis. Autoencoders for genotype compression, simulation, and global ancestry inference. [Preprint here; Under review]

Generative moment matching networks for genotype simulation. SNP simulation & privacy-preserving data sharing for biobanks. Presented in IEEE EMBC 2022. [Read here]

Pedigree-aware genotype simulation. A forward-in-time genotype simulator with integrated genealogical structure & sex-specific recombination. [Not public]

AudioMiXR [link to paper]

AudioMiXR is an augmented reality interface intended to assess how users manipulate virtual audio objects situated in their physical space using six degrees of freedom (6DoF) deployed on a head-mounted display (Apple Vision Pro) for 3D sound design. We conducted an exploratory study where we recruited 27 participants, consisting of expert and non-expert sound designers. The goal was to assess design lessons that can be used to inform future research venues in 3D sound design.

Recent projects [DM for collab]

Audio mixing in augmented reality on Apple Vision Pro. Demo recorded on stage at Temple Nightclub in San Francisco. [Read more]

PCB/GPU fashion statements. Designer purses using PC hardware components and jellyfish pigments. Contact me for more details. [Gallery]

Events hosting & speaking engagements. Too social of a person, so much that I've co-organized dozens of tech workshops, hackathons, career fairs, and conferences. I am also available for speaking to tech audiences. [List]

I'm a 3rd generation audiophile. Everything started in the 80s. The tape markets, the Radio Engineering magazines, and the love for music. [Genealogy]