About
I’m Samson Dawit Bekele.
I work as a machine learning research engineer across academic research and applied AI.
I was born and raised in Ethiopia, then lived in Cameroon for five years and Turkey for two years. I am now based in Kazakhstan (four years and counting). Along the way, I have learned to speak five languages, adapt to different ways of life, and work with people across cultures and fields.

Curiosity and research
I’ve always asked a lot of questions, sometimes to my parents’ frustration. They still occasionally tell me to let a question go. I’d like to say I’ve grown out of it, but I usually just have a follow-up.
As a child, I looked up to scientists with a sense of awe. I was fascinated by the idea that someone could discover something no one had known before, and wanted to understand how they did it. Astronomy and astrophysics were my first serious interests: the scale of the universe, and how much remained unknown about it, made the field hard to resist. I enrolled in an astronomical sciences programme at the University of Toronto, but COVID prevented me from pursuing it.
There was also a brief detour into mechatronics engineering. My curiosity has never been particularly good at following a straight line. During a gap year, an article about neural networks drew me towards AI. I began teaching myself through online courses and experiments. Each answer seemed to leave me with another question.
Today, I research and publish in scientific machine learning, mainly developing and evaluating methods for modelling fluid flow in porous media. I study how models incorporate physical laws, how they are trained, and how well they recover unknown properties from measurements. Alongside that work, I’m developing my own research direction in knowledge representation, causality, and cognitive AI, driven by the questions that interest me most: how we learn, how we represent what we know, and what it means to understand.
Research gives that curiosity a method: a way to turn a question into something I can investigate, test, and revise. I value the small advances that, together, make larger discoveries possible.
De omnibus dubitandum—everything must be questioned. I try not to take even simple, familiar truths for granted, or make exceptions for my own beliefs. I am willing to unlearn what no longer holds up and change my mind when presented with compelling evidence.
I’m drawn to the idea that success lies in pursuing a meaningful purpose. For me, that purpose lies in asking questions, living an examined life, and contributing to our understanding of the world.
Explore my researchBeyond research
I think about philosophy of mind, epistemology, and scientific methodology. My interests also include leadership, political science, and the social effects of AI.
Work and recognition
A record of research, teaching, and recognition, with photos, reports, and certificates from each occasion.
Explore HighlightsExplore further
This is where I share my work and think through the questions that keep me curious.
In Highlights, you’ll find photographs, interviews, and milestones from my work and life across cultures.