I am Lucie Gattepaille, a data scientist at the Uppsala Monitoring Centre. We’ve been recently honored to receive @Patrick_Ryan (a very active and driven member of this community, that you probably all already know) and get him to participate with his unique vantage point in one of our routine sprint for detection of safety signals in VigiBase (the WHO global database of Individual Case Safety Reports, that UMC manages). Patrick has been able to demonstrate the tremendous usefulness of OHDSI for investigating additional evidence in support or against the potential signals that our own signal detection methods produce. I have been greatly inspired by his presentation of OHDSI, the community, the tools, the datasets and all what OHDSI is trying to achieve.
I do not know yet how I can contribute to the community, I need to first get acquainted with the community and its numerous activities, but I believe that, as a data scientist working with the biggest database of individual case safety reports, I can probably provide some specific insights or provide additional evidence towards answering medicine safety questions that some of you might be interested in.
Technical-wise, SQL, Python and R are my daily tools. I have a PhD in population genetics, where I developed mathematical models to study Human evolution with the use of DNA data from modern samples or ancient remains, and master degree in Computer Science and applied Maths. I have fallen in love with Machine Learning, much more recently than I would wish, and I particularly like to mine for information in messy text.
I live in Sweden, have 2 lively boys (4 and 2 yo) and my most loved hobby is probably playing board games. I am not much of an outdoors person in general and I must admit that most of my days are spent in front of a screen… But I just recently bought a yearly gym card, so maybe there is hope for me
Looking forward to meet you all!