Libère Jensen Ndacayisaba

San Francisco, CA

Profile

Humankind’s most valuable asset and resource are health and time, respectively. Disease afflicts health and depletes time. There is no greater life purpose than the eradication of maladies and the betterment of human health. Humbled by the multiscale and spatiotemporal complexity of disease pathogenesis, I’m inspired by innovative science and technologies to decipher disease biology and make new medicines, and passionately committed to making therapeutic discovery more precise, predictable, and programmable.

Education

Ph.D. — Medical Biophysics, University of Southern California, Los Angeles, CA. Aug 2017 - May 2022
Highlights: 2022 Keck School of Medicine Commencement PhD Student Speaker, Order of Arete, Schlegel Family Endowed Fellow, PhD GEM Associate Fellow.
B.Sc. — Biotechnology, Syracuse University, Syracuse, NY. 2015
Highlights: Dean’s scholar, Ronald E. McNair Scholar, LSAMP Scholar.

Experience

Vitra Labs, San Francisco, CA, July 2023 - Present
Senior Computational Biologist

NextRNA Therapeutics, Boston, MA, May 2022 - June 2023
Computational Biologist II, Team Lead for Data Science and Modeling

USC Michelson Convergent Science Institute in Cancer, Los Angeles, CA, May 2018 - May 2022
PhD Graduate Research Assistant

Nucleate, Los Angeles, CA, August 2021 - May 2022
Strategy Lead

USC Graduate Student Government, Los Angeles, CA May 2020 - May 2021
Director of Globalization and Inclusion

Novartis Institutes for BioMedical Research (NIBR), Cambridge, MA, Jan 2016 - Jun 2017
Postbac Intern, Data Science, CBT Data Science Group, Chemical Biology and Therapeutics (CBT)

Novartis Institutes for BioMedical Research (NIBR), Cambridge, MA, Jun 2015 - Aug. 2015
Intern, Computational Biology, Screening Informatics Group, Developmental and Molecular Pathways (DMP)

Syracuse University, Syracuse, NY, 2014 - Dec 2015
McNair Scholar Undergraduate Researcher, Lab of Yan-Yeung Luk, Department of Chemistry

University of California San Francisco, San Francisco, CA, Summer 2014
Undergraduate Researcher, Lab of Michael Grabe, Cardiovascular Research Institute

New York State Department of Health, Albany, NY. Summer 2013
NSF-REU Undergraduate Researcher, Labs of Nilesh Banavali and Hongmin Li, The Wadsworth Center

University of California Berkeley, Berkeley, CA. Summer 2012
Undergraduate Researcher, Environmental Leadership Pathway, ESPM Department

Skills

Data Analytics and Computing: scikit-learn, CARET, PyTorch, Tensorflow, Git, Atom, cloud (AWS), Autodock Vina, RDKit
Machine Learning: Supervised and unsupervised learning, classification and regression (RF, NB, SVm), deep neural networks
Programming: Python, R, SQL, Bash, Atom, LaTeX
Experimental Biology: Single cell multiomics, immunofluorescence staining, microscopy, imaging mass cytometry, protein purification, molecular biology methods
Spoken Languages: English (professional fluency), French (professional fluency), Kirundi (native), Swahili (elementary)

Publications

  1. Setayesh S.M., Ndacayisaba L.J.,…et al., 2023 Sep 18 Targeted Single Cell Proteomic Analysis Identifies New Liquid Biopsy Biomarkers Associated with Multiple Myeloma. npj Precision Oncology. doi.org/10.1038/s41698-023-00446-0
  2. Ndacayisaba, L.J., Mason, J., Kuhn, P. (2023). Mathematical Oncology to Integrate Multimodal Clinical and Liquid Biopsy Data for the Prediction of Survival. In: Cote, R.J., Lianidou, E. (eds) Circulating Tumor Cells. Current Cancer Research. Springer, Cham. doi.org/10.1007/978-3-031-22903-9_7
  3. Dang M., Wang R., …Ndacayisaba L.J., …et al., 2023 Jun 12. Single Cell Clonotypic and Transcriptional Evolution of Multiple Myeloma Precursor Disease. Cancer Cell. doi.org/10.1016/j.ccell.2023.05.007
  4. Ndacayisaba L.J. (2022). Multimodal Single-cell Biology and Machine Learning to Characterize Plasma Cell Neoplasms. PhD Dissertation. University of Southern California. Los Angeles, CA.
  5. Ndacayisaba L.J. et al., 2022 Nov 3 Characterization of BCMA Expression in Circulating Rare Single Cells of Patients with Plasma Cell Neoplasms. Int J Mol Sci. doi: 10.3390/ijms232113427
  6. Ndacayisaba L.J. et al., 2022 Apr 21, Enrichment-Free Single-Cell Detection and Morphogenomic Profiling of Myeloma Patient Samples to Delineate Circulating Rare Plasma Cell Clones. Current Oncology doi.org/10.3390/curroncol29050242

Selected Presentations

Invited Talks and Lectures

Conference Presentations

Awards and Honors

Service to the Profession

Society Membership

Leadership & Professional Activities

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