I do research, experimentation of machine learning systems for Medical devices development at Medtronic Surgical.
My academic research focus on the reliability of medical vision-language models.
I believe safe and educated adoption of AI-driven systems can make healthcare equitable around the world.
My beliefs
We can help create a world we’re glad to live in.
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Build things that are useful to people.
I care about where the work ends up. In healthcare, I want what I build to help someone make a better decision or make good care more accessible. That purpose helps me choose which problems are worth spending time on, even when the answer is a long way off.
Understand why something works.
A good result makes me curious about what produced it. I want to understand the assumptions behind it and the conditions under which it fails. Finding a failure can be useful progress. It gives us something specific to investigate and a better question to ask next.
Make problems easy to talk about.
I want to hear about a concern while there is still time to act, even if we cannot fully explain it yet. My response should make it easier for people to speak up again. I try to thank them for raising it, then help work out what we need to do.
Stay open to being wrong.
I try to ask what would change my mind, especially when I like my own answer. When the evidence points elsewhere, I need to follow it and explain what I got wrong. If I was confident in public, I should be willing to correct myself there too.
Give people a clear goal and room to act.
I want people to understand why the work matters and who is responsible for moving it forward. That responsibility should come with the authority to make decisions. I explain the constraints, offer honest feedback, and trust the person doing the work to choose how to approach it.
Help people grow through the work.
I want people to take on work they could not have done a year earlier. My part is to give them a chance, stay available when they need help, and let them develop their own judgment. When the work succeeds, the people who did it should get the credit.





















