I am currently working as a Machine Learning Engineer at Corti.ai
Otherwise I spend my time managing the web content of Nørrebro Klatreklub in Copenhagen, Denmark.
I also like herbal teas and endurance training.
M.Sc. in Nanoscience / Biophysics, 2022
University of Copenhagen
B.Sc. in Nanoscience, 2018
University of Copenhagen
I use Python on a daily basis to analyze microscopy images, time series, and build predictive models and software for our research group
I have volunteered as a trainer and facilitator, and have taught courses in Nanobiology and Spectroscopy for B.Sc. students at UCPH.
My research is based on the use of statistical techniques and models to understand protein structure and function
Corti builds intelligent machines for augmented medicine.
I contributed in the following ways:
Corti builds intelligent machines for augmented medicine. Our AI supports medical personnel on making decisions in real time during medical emergencies, combining bleeding-edge machine learning research and real-world data from emergency calls. I worked on the following types of projects:
Corti builds intelligent machines for augmented medicine. Our AI supports medical personnel on making decisions in real time during medical emergencies, combining bleeding-edge machine learning research and real-world data from emergency calls. I worked on the following types of projects:
Projects:
Use of a variety of statistical models (ConvNets, LSTMs, Hidden Markov Models) on diverse biological datasets to streamline current data processing pipelines and determine hidden trends in single-molecule enzymology.
Projects:
Maintaining and running a Tourist Cabin for the Norwegian Tourist Association. Responsibilities:
Responsibilities:
I’ve been involved in a series of volunteer causes. Here are some of them.
I like learning new things.
I made this traffic simulation as part of Namiko Mitarai’s Course in Diffusive and Stochastic Processes in 2020
To better understand the mechanics of a neural network, I made my own implementation to test code and small examples of neural networks.
I created this scraping tool with BeautifulSoup and Selenium to scrape replies to Tweets for subsequent sentiment analysis.
I made this tool to visualize different probability distributions. It’s not very extensive but it’s proved very useful when discussing probability distribution while teaching basic statistics.