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
Developping machine intelligence capabilities for lncRNA-directed therapeutics.
Applying advanced data science and computational modeling for target identification and drug discovery efforts.
Computationally analyzed the structural and biophysical properties of the Dengue virus (DENV) NS2/NS3 protease complex.
Performed molecular screening, docking, binding affinity analysis, and identified top 40 candidate inhibitors.
Cultured and purified the NS2/NS3 complex and performed in vitro screening for experimental validation of top DENV protease inhibitors.
University of California Berkeley, Berkeley, CA. Summer 2012 Undergraduate Researcher, Environmental Leadership Pathway, ESPM Department
Performed DNA extraction, amplification, and sequencing of COX1 and 28S, two evolutionarily conserved genes in Tahitian plant bugs.
Applied bioinformatics with Bayesian inference methods to calculate phylogenetic probabilities of speciation
Investigated the morphological and genetic speciation of Pseudoloxops (Hemiptera: Miridae) and identified 5 candidate new species.
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
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):2954-2972.doi.org/10.3390/curroncol29050242
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.
Ndacayisaba L.J., et al. Project Tempest manuscript. in revision (update coming soon)
Ndacayisaba L.J., et al. Project Dragonfly manuscript in preparation(update coming soon)
Invited Talks and Lectures
Summer 2019, 2020, & 2021. PIBBS Summer Bootcamps for incoming 1st year PhD students, Los Angeles, CA Topics: Programming for Bioscientists. Taught first year PhD students on foundations of computational sciences for bioscientists, with hands-on programming and data visualization in R and Python. ~30 PhD students each summer.
Jul. 2020 Syracuse University McNair Scholars Symposium Jul 17 2020 Virtual Title: Single Cell Biology and Math Modeling to Delineate the Spatiotemporal Progression of Myeloma
Summer 2020. ACE the CURE: Summer Undergraduate Program Jul 2020 Virtual Topics: Predictive Math Modeling. Taught a one week-long bootcamp on predictive machine learning to 17 undergraduates
Nov. 2019. IMC User Group Meeting at Cedars Sinai: Accelerating Translational Science Through Mass Cytometry. Los Angeles, CA Title: Imaging Mass Cytometry in Liquid Biopsy: Proteomic Characterization of Circulating Rare Events in Single Cell Oncology
Dec 2016 Co-lecturer: Novartis Postbaccalaureate Scholars qBio Bootcamp. Cambridge, MA Topics: introductory command line Bash scripting, Python programming, data analysis, and visualization (class of 8 post-baccalaureate scholars) students during a 2-day long quantitative biology bootcamp.
Jul 2016 Invited Seminar Speaker, Novartis Summer Scholars Weekly Seminar Series. Cambridge, MA Topic: Science Communication, Chalk Talk. Led an hour long seminar to 22 undergraduate summer scholars on giving an effective chalk talk
Conferences & Symposia Presentations
Poster. New England Science Symposium (NESS). Apr 2017 Boston, MA Proteochemometric Machine Learning Models for Predictive Drug Discovery
Poster. Annual Winter Q-bio Meeting. Feb 2017 Kauai, HI Proteochemometric Machine Learning Models for Predictive Drug Discovery, Target Identification, and Polypharmacology Deconvolution
Talk & Poster. ISCB Student Council Symposium at ISMB. Jul 2016 Orlando, FL Proteochemometric Machine Learning Models for Predictive Drug Discovery, Target Identification, and Polypharmacology Deconvolution
Poster. New England Science Symposium (NESS). Apr 2016 Boston, MA Exploring miRNA Silencing Mechanisms Using Machine Learning Algorithms to Discover Biologically Relevant Pathway Nodes
Poster. Annual Biomedical Research Conference for Minority Students (ABRCMS). Nov 2015 Seattle, WA Exploring miRNA Silencing Mechanisms Using Machine Learning Algorithms
Talk. Leadership Alliance National Symposium (LANS). Jul 2015 Stamford, CT Exploring miRNA Silencing Mechanisms Using Machine Learning Algorithms
Talk. Ronal E. McNair Scholars Research Symposium. Apr 2015 Syracuse, NY Prediction and Characterization of Putative Ligand-receptor Interactions in Pseudomonas Aeruginosa
Poster. Annual Biomedical Research Conference for Minority Students (ABRCMS). Nov 2014 San Antonio, TX Ligand Discovery from a Crystal Structure and Homology Models of Sodium-glucose Co-transporters
Talk & Poster. UCSF Summer Research Symposium. Aug 2014 San Francisco, CA Ligand Discovery from a Crystal Structure and Homology Models of Sodium-glucose Co-transporters
Talk. NSF-REU Symposium at The Wadsworth Center. Aug 2013 Albany, NY Identification of Orthosteric Dengue Protease Inhibitors using Computer-aided Drug Design
Poster. UC Berkeley ELP Annual Symposium. Jul 2012 Berkeley, CA Molecular Taxonomy: Exploring the Speciation of Tahitian Plant Bugs
Awards and Honors
Jul 2021: Recipient, Schlegel Family Endowed Fellowship awarded by USC