Libère Jensen Ndacayisaba

Boston, MA


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.


Ph.D. — Medical Biophysics, Keck School of Medicine of USC, Los Angeles, CA. Aug 2017 - May 2022
B.Sc. — Biotechnology, Syracuse University, Syracuse, NY. 2015
Associate’s degree - Natural Science: Math & Technology emphasis, Ohlone College, Fremont, CA. 2014


NextRNA Therapeutics, Boston, MA, May 2022 - Present
Computational Biologist II, NextRNA Therapeutics

USC Michelson Convergent Science Institute in Cancer, Los Angeles, CA, May 2018 - May 2022
Ph.D. Graduate Research Assistant, Convergent Science Institute in Cancer (CSI-Cancer)

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

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

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


Machine Learning: Supervised and unsupervised learning, classification and regression (RF, NB, SVm), deep neural networks
Data Analytics: Linear and non-linear models, multivariate analysis, time series models, data visualization
Programming: Python, R, SQL, Bash, Visual Studio, Atom, LaTeX
Experimental Biology: Single cell multiomics, microscopy, imaging mass cytometry, protein purification, immunofluorescence, molecular biology methods
Spoken Languages: English, French, Kirundi, elementary Swahili


  1. Ndacayisaba L.J. et al., Enrichment-Free Single-Cell Detection and Morphogenomic Profiling of Myeloma Patient Samples to Delineate Circulating Rare Plasma Cell Clones. Current Oncology. 2022; 29(5)
  2. Ndacayisaba L.J., Mason J, Kuhn P. (2021). Mathematical Oncology to Integrate Multimodal Clinical and Liquid Biopsy Data for the Prediction of Survival.
    Book Chapter in Circulating Tumor Cells: Advances in Liquid Biopsy Technologies, Springer, 2nd Ed. Being edited by publisher.
  3. Ndacayisaba L.J., et al. (2022). Characterization of BCMA Expression in Circulating Rare Single Cells of Patients with Plasma Cell Neoplasms. IJMS. in revision
  4. Ndacayisaba L.J., et al. Project Dragonfly manuscript in preparation (update coming soon)

Selected Presentations

Invited Talks and Lectures

Conferences & Symposia Presentations

Awards and Honors

Service to the Profession

Society Membership

Leadership & Professional Activities

rss facebook twitter github youtube mail spotify instagram linkedin google pinterest medium vimeo gscholar