Profile
I am a fullstack web developer with a background in data science and engineering, including research experience in astrophysics. Currently working in Django and React. Skilled in statistics, machine learning, programming, problem solving, and creative thinking. I love tackling challenging problems, not just in order to solve them, but also because of the new methods I may have to learn or develop, and the fascinating people I might meet through collaboration.
Experience
Backend Developer — Hem Design Studio, Stockholm, Sweden
Feb 2022 – present
As the only backend developer in a small tech team, I am working closely with the digital product manager and frontend developer on maintaining and expanding the online store for this small Swedish design furniture studio.
- The main backend is a Django (Python) app connecting the third-party services, such as Shopify, Microsoft Navision, Airtable, Salesfoce, and Klaviyo.
- Additionally Airtable serves as our Product Information Manager (PIM), for which I develop and maintain automations and extensions (in Javascript).
- Furthermore, I maintain and develop the data pipeline consolidating sales and marketing data in our Data Warehouse in Google BigQuery using Stitch and dbt.
Data/Software Engineer — ValueChecker.net / alaTest.com, Stockholm, Sweden
Mar 2020 – Jan 2022
As a developer at a startup, my work was not confined to a job title. My tasks for ValueChecker, a platform helping insurances finding replacements for claimed items fairly and transparently, included:
- Full stack development for Angular front end with a Python API hosted in Google Cloud, accessing MySQL, Elasticsearch, MongoDB, and Redis.
- Analysis of product data and improvements to the replacement suggestion logic for items that have been discontinued.
- Maintenance and (occasional) development of the legacy code in Python, Java, and PHP for alaTest, a product review platform, that provides additional product data to ValueChecker.
Researcher — Stockholms universitet, Sweden
Aug 2015 – Sep 2019
I studied astrophysical events, e.g. supernova explosions, using irregularly sampled time-series data, both in order to understand individual events and their statistical properties. My responsibilities included both obtaining the data through astronomical observations, and analyzing it using various statistical methods, most commonly model-based regression analyses. Furthermore I developed software to simulate and better plan the observations, coordinated an international scientific work group and co-supervised students at various levels, from Bachelor to PhD.
Visiting Researcher — California Institute of Technology, Pasadena, USA
May 2017 – Sep 2017
During this research visit, I worked on the commissioning of the Zwicky Transient Facility, a project to discover exploding stars throughout the Northern Sky. I contributed to the development of a web application that allows researchers across the globe to access and visualize the telescope data. Additionally, I participated in the discovery of the first optical counterpart to a gravitational wave event, analyzing the telescope data using various theoretical models and regression analyses.
Research Assistant — Humboldt-Universität zu Berlin, Germany
Jun 2014 – Jul 2015
This position was a continuation of my work in Bonn near the end of my PhD program, in which I performed further statistical tests on various astronomical data sets and wrote my thesis.
Research Assistant — Universität Bonn, Germany
Dec 2011 – May 2014
I was responsible for my own independent research in my PhD project, while also contributing to the observations and data analysis of an international collaboration. Additionally, I worked as a teaching assistant for physics and numerics courses for undergrad students.
Laboratory Associate — Yale University, New Haven, USA
Jan 2012 – Mar 2012
During this visit, I helped the La Silla QUEST Supernova Search reduce the number of false positives in the detection process by applying machine learning techniques, mostly boosted decision tree classifiers, to data from the image reduction pipeline.
Education
Dr. rer. nat. (PhD), Physics — Universität Bonn, Gemany
Dec 2011 – Oct 2015
My PhD project focused on the question whether astronomical observations are statistically the same regardless of the direction. For this study, I developed new metrics and hypothesis tests based on time series and spectroscopy of supernova events.
Diplom (MSc), Physics — Universität Bonn, Germany
Oct 2005 – Nov 2011
My studies consisted of courses in physics and mathematics with a specialization in astronomy and theoretical physics in the later years. During the final year of the program I worked on my thesis project on a self-calibrating method for statistical inference that can correct systematic uncertainties.
Links
Skills
Software Development
Databases / Pipelines
Statistical / Data Analysis
Physics / Astronomy
Machine Learning
Public Speaking
Coding/Software
Python, Javascript/Typescript, bash
SQL, Elasticsearch, MongoDB, Redis
HTML/CSS, Django, Angular, React, Gatsby
Linux, git, GCP, Heroku, Airtable
Languages
German (Native)
English (Fluent)
Swedish (Intermediate)
Danish (Basic)