Experience

 
 
 
 
 
Research Scientist, Computational Biology
Gubra
May 2021 – Present Hørsholm, Denmark

I am contributing to preclinical research and drug discovery at Gubra, where I am responsible for the data and app infrastructure in our drug discovery platform.

Responsibilities

  • Digitalisation of internal discovery processes and customer facing services, through Shiny applications and robust data-informed processes
  • Data architecture for a fast peptide synthesis and assay pipeline
  • Experiment planning and optimisation

Projects

  • Building a robust and scalable backend for the peptide drug discovery platform and making data available to users and scientists through web apps and APIs
  • Building a pipeline for potency data analysis. I ensured automatic and uniform treatment so results were comparable across hundreds of experiments and made results easily available for downstream processes.
 
 
 
 
 
Data Scientist
Novo Nordisk A/S
Feb 2019 – Apr 2021 Hillerød, Denmark

I helped start Novo’s Manufacturing Intelligence initiative which was a push to digitalise manufacturing facilities and apply modern data technology to improve equipment efficiency and ensure product quality. With a team of data professionals, I contributed data informed solutions to manufacturing problems while advocating data science and machine learning within the organisation. My responsibilities are quite diverse ranging from data engineering tasks and coming up with machine learning cases to teaching colleagues and hiring.

Responsibilities

  • Creating and contributing to manufacturing data science cases
  • Industrial IoT prototyping
  • Developing and deploying applications and dashboards
  • Hiring data scientists, engineers, and analysts

Projects

  • Increasing overall equipment efficiency of an assembly line by applying Bayesian optimisation
  • Predictive maintenance on brownfield manufacturing equipment
  • Digital transformation of 3 factories through fast-paced prototyping and development of data based products. One of these factories is recognised as a Digital Lighthouse Factory by the World Economic Forum
  • Creating dashboards for planning in factories
  • We built a regulatory framework for applying machine learning to quality-critical pharma processes
  • Involved in hiring 15+ data professionals, personally leading 150+ interviews.
 
 
 
 
 
Data Analyst
Novo Nordisk A/S
Sep 2017 – Jan 2019 Hillerød, Denmark

I contributed to digitalisation of Novo Nordisk’s raw material supply chain by building a data warehouse for quality control data and advocating data-informed problem solving.

Responsibilities

  • Developing and maintaining a MSSQL data warehouse for quality control and other data for the raw material supply chain
  • Analysing performance data, presenting to management, and develop leading performance indicators
  • Trending on deviations and performance
  • Developing and demonstrating data science cases to shop floor and management
 
 
 
 
 
Intern
Innovation Centre Denmark, Embassy of Denmark to South Korea
Aug 2016 – Jan 2017 Seoul, South Korea
Collected market intelligence, facilitated Korean-Danish technology collaboration, arranged and executed large events, and had various diplomatic tasks.

Skills

Python

I have been writing Python for 6+ years doing both scripting and programming. I am comfortable with several modern libraries for data manipulation and data science.

R

I have used extensively employed R for statistics, web app development with Shiny, and Plumber for APIs.

Statistics

I have a strong theoretical understanding of classical statistics and hypothesis testing. I also have experience applying multivariate statistics, including ML methods like Gaussian Processes and Bayesian optimisation

Machine Learning & AI

have a solid theoretical understanding of ML and deep learning methods, as well as 5+ years of experience applying them to various domains.I have applied ML to solve complex problems, often with sparse or little data.Experience with AWS SageMaker and the Python data science toolbox: Pandas, SciKit, Numpy, Scipy, Tensorflow, etc.

Databases & SQL

I have been developing and using databases for 3+ years. I am comfortable with multiple dialects of SQL, including MSSQLand PostgreSQL. I have some NoSQL experience too

Computational Biology

I have worked with genome data and NGS reads in several projects, including my thesis. I have a particular interest in creating repeatable and automatic pipelines for analysis of sequence data.

Amazon Web Services

I am an AWS Certified Solutions Architect Associate.

Containerisation

I have extensively employed Docker to deploy web apps and APIs.

Internet of Things

I have experience applying IoT to industrial problems and have been involved from streaming sensor data to running machine learning models at the edge.

Certi­fications

Certified Solutions Architect Associate (SAA-C02)
Amazon Web Services (AWS) Sep 2020 – Sep 2023
I can architect and deploy secure and robust applications with AWS technologies, and I can provide implementation guidance based on best practices throughout the lifecycle of a cloud-project.
See certificate
Certified Cloud Practitioner (CLF-C01)
Amazon Web Services (AWS) Sep 2020 – Sep 2023
I understand and can communicate the core principles of cloud technology, including the value proposition, key security aspects, cost, and architectual principles.
See certificate