Unlock the Future of Neuroscience

TReND-CaMinA

Computational Neuroscience and Machine Learning in Africa

29 June – 15 July, 2026

Dedan Kimathi University of Technology, Nyeri, Kenya

Why CaMinA?

TReND-CaMinA is an intensive entry level course designed to equip participants with basic skills in Computational Neuroscience and Machine Learning. Our mission is to foster scientific excellence and innovation across Africa by providing hands-on training and exposure to the latest technological advancements in these fields. Join us to be part of a vibrant community of researchers dedicated to driving development through science.

Inspired by the Spanish word ‘camina’ — to walk — our course brings people from across the world to learn, grow, and continue walking forward together.

Who can apply?

We welcome applications from individuals residing in African countries, with a background in neuroscience, medicine, computer science, engineering, or related fields. Ideal candidates should possess a strong academic record and a keen interest in computational methods and machine learning applications in neuroscience. The course is designed for final year undergraduates and master students. Highly motivated PhD students and early career researchers who are interested in exploring these fields will also be considered.

Previous coding exposure is required. In order for all students to start with the necessary fundamentals, a 1-day online pre-course on Python coding tailored to neuroscience, as well as material for self-study will be offered. Students with quantitative backgrounds will be expected to help their peers in their coding assignments. Likewise, students with biological backgrounds will be expected to help technical students understand neurophysiological concepts.

Application
Requirements

Applications open
15 December 2025

Applications close
31 January 2026

To apply for the TReND-CaMinA course, applicants must submit:

 

  • a completed application form that enquires about academic background and motivation outlining their interest in computational neuroscience and machine learning
  • a 1-page CV
  • two letters of recommendation.

The school

   Duration
            29 June – 15 July, 2026

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The program runs for six working days (Monday to Saturday, 9am to 7pm), followed by one rest day (Sunday) spent exploring the beautiful surroundings of Nyeri.

Program Structure

The course is divided into three complementary modules:

  • Interactive lectures and practical sessions — blending concepts from neuroscience, mathematics, and machine learning with Python-based tutorials.

  • Collaborative research projects — small-group investigations using real neural datasets from the Allen Institute, guided by experienced mentors.

  • Inspiring keynote lectures — delivered by leading researchers from Africa and around the world, highlighting cutting-edge advances in computational neuroscience and machine learning.

Funding & Support

TReND–CaMinA is fully funded — there are no course fees. All selected participants receive a full scholarship covering:

  • Round-trip airfare from a major international airport in their home country

  • Accommodation and meals for the duration of the course

  • All course materials and participation costs

What You Will Gain

Participants will:

  • Build a strong foundation in computational neuroscience and machine learning

  • Gain hands-on experience with world-class datasets

  • Become competitive candidates for advanced training programs such as Imbizo, Neuromatch Academy, or international Master’s/PhD opportunities

  • Join the TReND Alumni Network, connecting with peers and mentors from across Africa and beyond

  • Access continued mentorship and an international research network after the course

    Faculty

    Dr. Saskia de Vries

    Dr. Saskia de Vries

    Allen Institute, USA

    Dr. Michael Buice

    Dr. Michael Buice

    Allen Institute, USA

    Dr. Albert Njoroge Kahira

    Dr. Albert Njoroge Kahira

    AstraZeneca R&D, Spain

    Dr. Poornima Ramesh

    Dr. Poornima Ramesh

    IDinsight, Kenya

    Dr. Ann Hermundstad

    Dr. Ann Hermundstad

    Janelia-HHMI Research Campus, USA

    Prof. Byron Yu

    Prof. Byron Yu

    Carnegie Mellon University, USA

    Dr. Vivek Jayaraman

    Dr. Vivek Jayaraman

    Janelia-HHMI Research Campus, USA

    Prof. Guillaume Lajoie

    Prof. Guillaume Lajoie

    Mila / University of Montreal, Canada

    Prof. Ryszard Auksztulewicz

    Prof. Ryszard Auksztulewicz

    Maastricht University, Netherlands

    Prof. Pedro Gonçalves

    Prof. Pedro Gonçalves

    Neuro-Electronics Research Flanders / VIB.AI, Belgium

    Organising committee

    The TReND-CaMinA course is organized by a dedicated team of early career researcher committed to advancing education in Africa. Our organisers are responsible for curriculum development, logistics, and ensuring a transformative learning experience for all participants.

    Dr. Saray Soldado-Magraner

    Dr. Saray Soldado-Magraner

    University of California Los Angeles, USA

    Dr. Joana Soldado-Magraner

    Dr. Joana Soldado-Magraner

    Carnegie Mellon University, USA

    Dr. Gabriela Michel

    Dr. Gabriela Michel

    Janelia-HHMI Research Campus, USA

    Prof. Emmanuel Marquez-Legorreta

    Prof. Emmanuel Marquez-Legorreta

    Utrecht University, Netherlands

    Dr. Tom George

    Dr. Tom George

    Mila Quebec AI Institute, Canada

    Dr. Ash Parker

    Dr. Ash Parker

    Humbolt University, Germany

    Dr. Artemis Koumoundourou

    Dr. Artemis Koumoundourou

    VIB-KU Leuven CBD, Belgium / TReND in Africa, UK

    Dr. Elizabeth Mutua

    Dr. Elizabeth Mutua

    Dedan Kimathi University, Kenya

    Teaching & Support team

    Polina Turishcheva

    Polina Turishcheva

    University of Göttingen, Germany

    Gilgal Justice Ansah

    Gilgal Justice Ansah

    University of Pittsburgh, USA

    Svenja Küchenhoff

    Svenja Küchenhoff

    University of Oxford, UK

    Dr. Marwan Zouinkhi

    Dr. Marwan Zouinkhi

    Janelia HHMI Research Campus, USA

    Dr. Marcus Ghosh

    Dr. Marcus Ghosh

    Imperial College London, UK

    Maryada

    Maryada

    University of Zurich/ETH Zurich, Switzerland

    Jo Warren

    Jo Warren

    University College London, UK

    Stephen Kiilu

    Stephen Kiilu

    University of Texas at Austin, USA / CaMinA alumnus

    Dr. Burak Gür

    Dr. Burak Gür

    FMI Basel, Switzerland

    Vincent Ogwal

    Vincent Ogwal

    Kyambogo University, Uganda / CaMinA alumnus

    Mahmoud Elmakki

    Mahmoud Elmakki

    Champalimaud Center for the Unknown, Portugal

    Sponsors

    Partner Institutes

    Student Testimonials

    Jessica O.

    “I really enjoyed the lectures on machine learning methods for neural data analysis, dimensionality reduction and Hopfield networks. They strengthened my motivation to keep exploring computational neuroscience.”

     

    Vincent O.

    “The TAs and invited speakers were extremely friendly, which helped me enjoy every moment of the course.” 

     

     

     

    Arisema M.

    “I remember being inspired by the stories the instructors and TAs shared about their career path as well as the work they did.”

     

     

     

    Bertrand W.

    “It was a rare opportunity to learn directly from scientists shaping the future of brain research and neurotechnology.” 

     

     

     

    Stephen K.

    “Overall has been one of the best school I have attended. Having the TReND in my CV gives me a lot of confidence and sense of achievement. But more than that the people I met at the course are now some of my best friends.” 

    Imane H.

    “The course has been a life changing experience and has helped me shift from pure CS to Computational Neuroscience as now I’m working on NeuroAI. I am looking forward to volunteer and contribute to the course once I get enough knowledge”

    Join the Next Cohort

    Contact: camina@trendinafrica.org

    Don’t miss the chance to be part of a groundbreaking course that blends neuroscience and machine learning. Apply now to secure your spot in the upcoming course at Dedan Kimathi University of Technology, Nyeri, Kenya, from 29/06 to 15/07 2026.