Profile #249745

Combining strong background in Computational Integrative Structural Biology with nanotech/physics and lab training. My interest is in combining experiment and computational simulations to solve challenges in bio-medicine on the molecular level. I enjoy all aspects of science communication as well as taking the lead in challenging projects.
PhD protein scientist data scientist  
Updated 25. maj 2020
My education
2017 - 2020

ph.d. (alm.)

Københavns Universitet

Educational area: Kemi, Biotek & Materialer
Period: januar 2017 - maj 2020
2020 - 2020

Anden erhvervsuddannelse

Anden uddannelsesinstitution i Danmark

Educational area: Administration
Period: maj 2020 - maj 2020
9
2016 - 2013

Cand.Scient. i Nanoteknologi

Københavns Universitet

Educational area: Naturvidenskab
Period: maj 2016 - maj 2013
My work experience
2017 - 2020

PhD fellow in computational structural biology

Københavns Universitet (KU)

Computational studies of proteins by integrating experimental results and simulations. Using molecular dynamics simulations, statistical physics, Bayesian statistics, maximum entropy, and enhanced sampling methods.
Work area: Forskning & Udvikling
Period: januar 2017 - maj 2020
My skills and abilities
Skills
chemistry data science experiment inspiration modelling protein python research visualizing
Skills at working proficiency
dansk engelsk norsk bokmål
My preferences
Job type
Fuldtidsjob Graduate/trainee Vikariat
Work areas
Forskning & Udvikling Medicinal & Sundhed Naturvidenskab
Location
Nordsjælland Storkøbenhavn Østsjælland
Read more / links
https://www.linkedin.com/in/mu...
Contact me!