Kamil Seghrouchni
Speaker at AMLD Africa 2026, AMLD Africa 2024 and AMLD Africa 2022
Kamil Seghrouchni is Founding Engineer and Operations Lead at Isospec Analytics, an EPFL spinoff building metabolomic and glycomic intelligence layers for drug research and clinical development. He manages large scale patient molecular screening projects across oncology, cardiovascular disease, and neonatal health, coordinating hospital partnerships, wet lab operations, and ML powered data pipelines from concept through delivery.
Previously, Kamil worked as an ML Engineer and AI Consultant at Visium SA, where he led AI projects for tier one pharmaceutical clients including Novartis, Roche, and Takeda, spanning RNA sequencing analysis, causal modeling, and clinical decision support systems.
Kamil holds an MSc in Life Sciences Engineering with a Data Science minor from EPFL. He is a fellow of Included VC Africa and has served as an advisor to Applied Machine Learning Days in Africa since 2021, helping shape the conference agenda and bringing African AI leaders to the stage in Kenya and Morocco
At AMLD Africa
WITS University, Johannesburg, South Africa
The AI Application Layer: Building New Breed Of Techbios On Africa's Biobank Infrastructure
The TechBio playbook is clear: data builds the moat, platforms scale it, assets deliver the prize. While the West races to optimize molecules in silico, the real bottleneck has shifted downstream to generating functional, human relevant data at scale. Africa holds the world's most undersampled genetic diversity and the infrastructure to finally unlock it. This talk maps the venture opportunity in building the application layer on top of emerging biobank infrastructure, spotlighting the new class of African TechBios already raising capital, signing Pharma partnerships, and running the same playbook that created billion dollar exits elsewhere. From Yemaachi's pan African cancer knowledge base to Revna's AstraZeneca collaboration, these companies show what can be built when the most diverse biology meets real infrastructure and talent.
United States International University Africa, Nairobi, Kenya
Panel Discussion
With Emmanuel Noutahi; Mary-Anne Hartley, Kamil Seghrouchni; Judy Gichoya; Therence Bois; Join us for a captivating panel discussion featuring African AI founders sharing their experiences, insights, and advice. Gain valuable perspectives on market trends, key considerations, challenges, and future outlooks in the AI landscape. This concise session promises to be both informative and inspiring, offering practical wisdom for aspiring entrepreneurs in Africa's burgeoning AI ecosystem.
UM6P, Ben Guerir, Morocco
See the AMLD Africa 2022 agenda
