Hi! I am Francesco Gadaleta, PhD. computer engineer specialized in Artificial Intelligence and Advanced Machine Learning. As researcher in Computer Science at the University of Leuven I developed novel hypervisor-based approaches to computer security, some of which became core technology at VMWare. Download my dissertation
As member of the Statistical Genetics Unit at the Department of Electrical Engineering and Computer Science of the University of Liège, I have been searching for solutions to integrate heterogeneous data (OMICS) within a common framework, assembling networks and merging clinical and genetic data together to make predictions about the risk of diseases for patients in a pre-symptomatic fashion.
I have been data scientist at the Gasthuisberg Research Hospital located in Leuven, Belgium - one of the largest research hospitals in Europe - and member of the Non-Invasive-Prenatal-Testing NIPT research group.
I have been member of the Advanced Analytics Team of Johnson&Johnson where I designed and implemented the most accurate predictive models for disease interception and drug recommendation. In addition, I have adviced a number of big data technologies and strategies that turned out to be essential to the organization on a global scale.
I am currently Chief Data Officer at Abe.ai, creating artificial intelligence solutions for personal finance.
I am currently based in Belgium, traveling extensively across Europe and USA. During my spare time I enjoy reading books and running ultra marathons. Technologies I am excited about include Artificial Intelligence, Deep Learning, Natural Language Processing, Advanced Computer Programming and Machine Learning, blockchains, and Operating System security.
If you are interested in hiring me for speaking, writing, machine learning and artificial intelligence consulting, or other opportunities, feel free to contact me.
I am who I say I am
Security is as important as confidentiality and privacy. If you need to contact me in a confidential and secure way, please follow the best practices of encrypted/signed communication. I engage confidential communications on secure channels like Signal and Telegram. This site has been proved by keybase.io
I have a public key with fingerprint 3CB8 C721 FE99 BC98 38DC F463 BFDC E4EC CE3B 7327