Open to research collaboration

Hi, I'm Mussa Justin Muhindo.
Doctoral Researcher in AI & Applied Mathematics.

I build continuous-time machine-learning models for epidemiology — currently forecasting malaria in Rwanda with Neural Controlled Differential Equations and optimal control.

See my work Get in touch
01

About

I'm a doctoral candidate at the Doctoral School of Exact and Natural Sciences, University of Łódź, working on malaria incidence forecasting in Rwanda with Neural Controlled Differential Equations coupled to optimal control theory, supervised by Prof. dr hab. Andrzej Nowakowski. My interests are continuous-time deep learning for irregularly sampled epidemiological data, mechanistic–data-driven hybrid models, optimal control of infectious-disease interventions, and decision-support tools for national malaria programmes. I combine a computer-science background (MSc, first class) with seven years of professional experience in IT systems, process analytics and teaching, including three years in Rwanda's education sector.

Programming

  • Python
  • NumPy
  • pandas
  • SciPy
  • scikit-learn
  • PyTorch
  • matplotlib
  • R
  • SQL
  • LaTeX

Modelling

  • ODE / SEIR-type models
  • Neural ODE / CDE
  • Optimal control
  • Time-series forecasting
  • Bayesian calibration

Data & Geospatial

  • Survey-weighted analysis (DHS)
  • Raster / vector processing
  • Google Earth Engine
  • Reproducible pipelines
  • Git

Systems

  • Linux & Windows server admin
  • Networking
  • ERP / finance systems

Languages

  • English (C2)
  • French (C2)
  • Swahili (fluent)
  • Kinyarwanda (native)
  • Polish (A1)
02

Featured projects

All projects →
2026 Featured

Forecasting Malaria Incidence in Rwanda with Neural CDEs

Doctoral research: continuous-time deep learning for irregularly sampled malaria data, integrated with optimal control tools for intervention planning.

  • PyTorch
  • Neural CDE
  • Time series
  • Epidemiology
2026 Featured

SEIRS–SEI Transmission Model with Optimal Control

A calibrated human–mosquito malaria transmission model with ITN, IRS and treatment controls, solved for optimal intervention schedules.

  • Python
  • SciPy
  • ODE models
  • Optimal control
2025 Featured

Rwanda Malaria Analysis Dataset (2000–2022)

A reproducible Python pipeline building a 30-district, 23-year dataset from Malaria Atlas Project surfaces, DHS/MIS surveys and public climate data.

  • Python
  • R
  • pandas
  • Geospatial
03

Publications & work in progress

All publications →
04

Experience

  1. Oct 2026 – present

    Instructor of IT Project Management (part-time)

    University of Łódź

    Lectures on agile and classical IT project-management methodologies; supervises student projects and supports academic development within the faculty.

  2. Aug 2025 – present

    Process Specialist, Order-to-Cash

    Infosys BPM Poland

    Leads credit and cash-collection analytics for a multinational client; builds reporting dashboards and process-improvement analyses on large financial datasets.

  3. Feb 2023 – Aug 2025

    Senior Process Executive, Credit & Cash Collection; Procure-to-Pay

    Infosys BPM Poland

    Managed receivables and procure-to-pay processes; automated recurring reporting; trained new team members.

  4. Apr 2020 – Sep 2022

    System Administrator

    Goodman, Kigali

    Administered servers, networks and user systems; IT and network support across the organisation; data security and backups.

  5. Aug 2015 – Aug 2018

    Technical Teacher and Student Patron

    CDFP Butamwa (TVET school), Caritas Kigali

    Taught electricity, IT and Swahili to vocational students; responsible for student welfare as patron; IT support to the coordination office.

05

Education

Oct 2025 – 2029 (expected)

PhD, Artificial Intelligence and Applied Mathematics

University of Łódź, Doctoral School of Exact and Natural Sciences

Łódź, Poland

Thesis: Forecasting Malaria Incidence in Rwanda Using Neural Controlled Differential Equations Integrated with Optimal Control Tools. Supervisor: Prof. dr hab. A. Nowakowski; secondary supervisor: Dr hab. D. Machowska.

Oct 2022 – Jul 2024

MSc, Computer Science – First Class

University of Łódź, Faculty of Mathematics and Computer Science

Łódź, Poland

Thesis: Legal Connect System Management. Participated in software-development workshops and professional-certification study groups.

Jan 2018 – Dec 2021

BSc, Computer Science – Second Class Upper Division

University of Kigali

Kigali, Rwanda

Have a project in mind?

I'm open to research collaboration. Let's talk.

Contact me