I am beginning a new project this week, the topic is Causal Inference. This is something I have been reading about, and wrestling with, for quite some time. Now seems a good point to take some time out, form a project, and see what I can get done on the topic.Continue reading “New Project: Causal Inference”
Today is my last official day under contract to Fosanis GmbH. I had my first encounter with the founders following my talk at the Digital Health Forum in March 2018. Following that initial meeting I became an advisor, writing a major funding proposal, bringing scientific techniques to the core of the product. In November 2018, following the closure of my own company, I became a full-time member of staff – as Head of Data Science – and led the project on the basis of the ideas contained in my funding proposal.Continue reading “Closing a Chapter @ Fosanis”
I sometimes see myself as a slow learner. I am extremely fast at deep-thinking, which somewhat disguises this fact, but I learn things from the ground up. Until I can think a topic through I sometimes feel unsure about operating from an incomplete understanding.
When I worked in academia I prefered to learn rather than to force my opinions on others. Everybody seemed reasonably smart, and they were absolutely convinced of their own correctness, and so I listened and learned. Continue reading “Why I write”
This topic occurred to me following my recent talk at a dental conference at Charité Berlin. Upon hearing that I have a strong interest in inference, my fellow keynote mentioned that it drives him crazy that random forests, and similar algorithms, work so much better than DNNs on genomic data. He challenged me to come up with a reason for why this is the case.
I think that I know why. The problem I have is that I suspect that I can never prove it. That issue of not being able to prove things in machine learning is probably an equally interesting topic, for a future article, but here I want to address my theory of why random forests work better than DNNs for analysing genome data.Continue reading “Why do Trees work better than DNNs on genome data?”
A sense of home is a powerful feeling. The sense of belonging, of knowing where everything is. I miss that sometimes.
I left Ireland almost exactly 10 years ago with a burning need to go out and prove myself. I had finally recovered from Chronic Fatigue Syndrome and was going to take up a much delayed PhD position. I moved to the University of Luebeck, where I found my introduction to neuroscience, before moving on to Paris Descartes, the École Normale Supérieure and the University of Chicago. With each move I developed a new network of colleagues, collaborators, and mentors.
A couple of weeks ago I was contacted by a member of the Irish mathematical community. Many years ago I wrote the website for the Mathematics Department at NUI, Galway. While doing that I included biographies of the then members of staff and their research domains. At some point, I also made a backup of the website for my own reference under my personal domain. Sadly, many of the members of staff who worked at NUI, Galway when I was an undergraduate are now dead. So now this resource has become a useful archive. And thus I was re-discovered by a member of the current Irish mathematical community.Continue reading “The network you grow up with”
18 months ago I left my academic nest to see what I could discover in the wider world. Here is what I learned.Continue reading “Lessons Learned”
I trained in Mathematics, not Physics, so I tend to despair when I see physicists presenting their results and focusing on power laws. I used to think, “So what?” Unless you link this data point to some greater insight about the underlying process, “Why should I care?” But I’ve been revising my perspective recently.Continue reading “The Power of Power Laws and Impact”
Last week I was invited to chair the panel discussion at the Digital Health Forum of the Berlin Institute of Health. The keynote was a joint presentation by Michelle Livne, the CTO of recently founded ai4health, and Kerstin Ritter, a junior professor at Charité Berlin.