- +1 312-709-7736
- info@biotraject.com
- 1 East Erie St, Suite 525 Chicago, IL 6061
BioTraject Systems was founded by Celestin Missikpode, MD, PhD, a physician-scientist and quantitative epidemiologist with formal training in clinical medicine, epidemiology, and biostatistics.
Dr. Missikpode’s work focuses on trajectory-based modeling of chronic disease using state-space, stochastic, and control-theoretic frameworks. His research experience spans chronic kidney disease and cardiometabolic conditions, with an emphasis on longitudinal disease progression, competing risks, and intervention timing.
He has extensive experience working with large longitudinal datasets, including EHR-derived real-world data and cohort studies, and has led methodological and applied research at the intersection of epidemiology, systems science, and quantitative modeling.
This background informs BioTraject Systems’ platform-first approach, emphasis on interpretability, and validation-driven development philosophy. Dr. Missikpode holds appointments in academic medicine and has published across epidemiology and chronic disease modeling.
BioTraject Systems was founded to address a fundamental limitation in modern medicine: chronic diseases are dynamic, yet most analytic tools remain static.
Clinical decisions are often guided by snapshots—risk scores, thresholds, or short-term predictions—that fail to reflect how disease evolves over time, how interventions interact, and how timing shapes outcomes.
BioTraject Systems is building modeling infrastructure designed to simulate disease as a dynamic system, enabling trajectory-based exploration of progression, interventions, and long-term outcomes across chronic disease domains.
Our mission is to transform how chronic diseases are modeled, understood, and managed by shifting from snapshot-based prediction to trajectory-based simulation.
We aim to support more informed clinical reasoning, research design, and intervention planning by developing scientifically rigorous, interpretable, and extensible modeling platforms.
Chronic diseases do not progress in a simple or uniform way. They evolve over time through interacting physiologic processes, clinical events, treatment effects, and patient-specific differences.
Disease trajectories may be shaped by:
BioTraject Systems is built around the idea that these features should be represented explicitly rather than approximated through static or snapshot-based approaches alone.
Our platform is designed to model chronic disease as an evolving, patient-specific system, enabling simulation of disease progression, intervention effects, and alternative care paths over time.
That foundation supports a more dynamic and clinically meaningful view of long-term disease management.
BioTraject Systems is guided by a set of foundational principles:
These principles inform how the platform is designed, how products are developed, and how collaborations are pursued
BioTraject Systems collaborates with:
At this stage, engagement focuses on advisory input, methodological refinement, collaborative research, and planning for future pilots.
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📩 Contact us to discuss collaboration, advisory roles, or strategic partnerships
