André Nuyens

Engineer, founder, and researcher focused on deploying AI into the real world. I work across healthcare, multimodal systems, inference infrastructure, and world models, building the tooling and data layers behind the next generation of intelligent systems.

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Current focus

Bytespace Labs turns healthcare institutions into AI-native learning systems.

We capture the knowledge inside clinics, hospitals, labs, diagnostic centers, and care environments, then turn everyday clinical work into data hubs for better care, applied AI research, and future medical intelligence.

Education / hobbies

UPenn M&TBioengineeringWharton / FinanceAI/MLSelf-directed research
PianoStrategyLate-night researchArt

Previous projects / work

ProjectFocusNotesStatus
Bytespace LabsHealthcare AI / medical intelligenceTurning healthcare institutions into AI-native learning systems and clinical data hubs for care, research, and future medical intelligence.active
bot0Agent harness / harness engineeringHarness engineering for building, evaluating, and deploying AI agents across tools, workflows, and real operating environments.active
ctx0Organizational context / data foundationsOrganizational context systems and data foundations for helping companies make their knowledge, workflows, and decisions usable by AI.active
dom0Browser agentsBrowser-agent research product focused on agents that understand, navigate, and act through web interfaces.active
cmd0Computer-use harnessComputer-use harness research for models operating terminals, desktop tools, and local workflows.active
data0Datasets / evals / training dataDataset creation and evaluation work for AI systems, including training data, benchmarks, and model improvement loops.active
infern0Inference engineeringInference engineering around model and hardware mappings: how to run models on real hardware, index capabilities, and improve serving performance.active
Web automationAutomation systemsEarlier work on web automation, workflow execution, and agentic systems for repetitive browser and software tasks.archived
SymbioticaPersonal context systemsEarly project around personal contacts, profiles, and context for understanding people and relationships.archived
Optogenetics researchNeuroscienceEarly research into optogenetics, neural signals, and how brain state might be measured, encoded, or modulated.archived

About Me

Pain has to go somewhere.

Some of mine went into computers, research, music, and companies. Some of it is still being sorted out. This is the current map I have of myself: why certain questions keep following me, why some problems make me feel more alive than others, and why I keep trying to place myself near work that might matter.

If you read my notes, research, or ideas, I want you to understand the human behind them. There is also a habit here that I think is worth sharing. Learning why you do things is not indulgent. It becomes leverage for how you communicate, sell, build teams, choose collaborators, and give shape to a future other people can believe in.

Growing up, science and art were the two languages at home. My father gave me medicine, systems, and scientific thinking as a way to understand the world. My mother gave me something harder to explain. I watched her fight bipolarity and still make art with force and beauty. She never sat me down and taught me a theory of creation, but the pattern was there: pressure entered the room one way and left through the work as something else.

Warmth came from my sister. Humor, aliveness, personality, the kind of presence that changes a room. Music became another way to stay human; I still play piano every day. Those things matter because they keep science from becoming abstract to me. Intelligence has never felt cold. It touches people, families, illness, memory, work, and the private ways we try to survive.

Computers became the room inside my life where intensity could turn into focus. Guatemala had already taught me about violence, instability, and loss. Then, at 13, an accident left me paraplegic for almost a year. My physical world became smaller. School became harder. My grades dropped. My body was recovering, but my mind needed somewhere to go.

A computer from my father opened that world. Online courses from Stanford and Penn, programming, machine learning, bioengineering, medical imaging. None of it felt like a career plan then. It felt like a place to conduct pain into attention.

By 4am, the problem was usually the brain. I would stay up too late reading about neuroscience, optogenetics, and neural signals, trying to imagine technologies that could encode and decode what was happening beneath mood. Really, I was trying to understand my mother. I was a teenager sketching solutions to problems I did not yet have the tools to solve.

The attempt failed, but it changed what I loved. Neural networks felt different from other software. They compressed the world. They found structure in messy signals. They reminded me, imperfectly but powerfully, of the brain I was trying to understand.

Healthcare made the obsession concrete. Recovery meant labs, doctors, scans, diagnoses, and the strange feeling of becoming data inside a medical system. Losing my friend Mafer to disease at such an early age had already left me asking what better care might have changed. Medical imaging was the first place AI felt real: not a model on a screen, but a way to notice something earlier, structure evidence better, and maybe help a patient before the window closed.

Companies became a way to stand closer to the problems. I care about the edge of research because it is where the hardest scientific questions start to become buildable. Founding gives me contact with the technology, users, data, incentives, and constraints at the same time. That contact matters. It is where ideas either become useful or disappear.

Companies taught me that technology is rarely the whole problem. The harder part is earning trust, finding the right people, aligning incentives, and keeping morale alive long enough for a team to move toward something that does not exist yet. I still do some of my clearest work late at night, reading from 11pm into the early morning. Research gives me questions. Strategy gives those questions a path into the world.

Contact

I want to meet researchers, engineers, clinicians, founders, and unusually driven people who care about hard scientific or technical problems. If any of this resonates, write me.

andre@bytespace.ai