[email protected]
she/her/hers
Biological and Medical Informatics (BMI) PhD Student
Co-mentor: Christina Theodoris
Education
B.A. in Data Science and Music, UC Berkeley (2021)
Research Experience
- Royer Lab and Data Science Platform, Chan Zuckerberg Biohub SF, (2022-2024)
- Framework to quantify individual variability in developmental zebrafish time series data
- Trajectory analysis methods comparison with RNA Velocity
Honors/Awards
- NSF Honorable Mention (2025)
- Eli and Edythe Broad Fellowship (2024-25)
Selected Publications
- Grosjean P, Shevade K, Nguyen C, Ancheta S, Mader K, Franco I, et al. (2025) Network-aware self-supervised learning enables high-content phenotypic screening for genetic modifiers of neuronal activity dynamics. bioRxiv. https://doi.org/10.1101/2025.02.04.636489
- Le Treut G, Ancheta S, Huber G, Orland H, Yllanes D. (2025) Markov-bridge generation of transition paths and its application to cell-fate choice. Physical Review Research. https://doi.org/10.1103/PhysRevResearch.7.013010
- Ancheta S, Gurung A, Le Treut G, Lange M, Granados A. (2024) A comparison of RNA velocity methods in different single-cell developmental contexts. bioRxiv. https://doi.org/10.1101/2024.06.25.600667
- Lange M, Granados A*, VijayKumar S*, Bragantini J*, Ancheta S*, Kim Y, Santhosh S, Borja M, et al. (2024) Zebrahub – Multimodal Zebrafish Developmental Atlas Reveals the State-Transition Dynamics of Late-Vertebrate Pluripotent Axial Progenitors. Cell, Volume 187, Issue 23, 6742 - 6759.e17
Research Interests
The advancement of machine learning and development of high throughput sequencing provide an exciting opportunity to discover potential gene targets with in silico methods. I am interested in utilizing deep learning to better understand neurodegenerative disease and predict gene targets to explore.
Other Interests
I love all live music. I play violin with the San Francisco Civic Symphony and previously studied as a classical singer.