PhD Biostatistician & Data Scientist
Received a PhD in Biostatistics from the University of Minnesota in 2024, an MS in Biostatistics from Columbia University in 2020, and a BA from St. Olaf College with Distinction in Mathematics in 2018. Dissertation work revolved around fMRI brain imaging, hierarchical graphical models for multivariate time-series, and deep learning methods for ‘multiview’ data integration across many ‘-omics’ sources; all with applications in mental health research. Previous experiences include developing interim analysis methodology for live COVID trials, consulting on neurological clinical trials, teaching statistics & data science, NIH training in statistical genetics, and a data science for the public good fellowship.
Professional connections
I’m an avid R, python, SQL, and C++ user, passionate about data science for the public good, and would love to share my technical skills and biostatistics domain knowledge with an industry leader in the healthcare/data science field for an immediate full-time position.
About me
In my spare time you’re likely to catch me reading whatever new book my favourite non-fiction author, Leonard Mlodinow, has recently published or a classic from Stephen King. I’m also a huge Lord of the Rings fan and have traveled all the way to New Zealand just to have a pint at the Green Dragon in Hobbiton, among other less exciting things like skydiving and scuba diving. I love music and still slap some jazz bass & play guitar when the mood strikes. Lastly, and probably most importantly, I am a firm, steadfast, unequivocal believer that hotdogs are sandwiches.
“If it was easy, everyone would do it.” - Dan Neville
“…and so do all who live to see such times. But that is not for them to decide. All we have to decide is what to do with the time that is given us.” - Gandalf