Personal Information
Organization / Workplace
Copenhagen Area, Capital Region, Denmark Denmark
Occupation
Interdisciplinary Life Scientist/ Bioinformatician
Industry
Education
About
Differentiation of neuronal cells by single-cell transcriptomics.
Data Analysis/ Visualisation:
Regression, Correlation, Bayesian methods, Classification, Linear Algebra, Calculus, Machine learning (ANN, SVM, clustering, ...), Parallel and distributed computing, AWS, C/C++, Matlab, Python (numPy, SciPy, Pandas, matplotlib), R, Bash, SQL, noSQL (MongoDB), ElasticSearch
Bioinformatics:
Molecular Modelling, Protein Structure Prediction, Docking, MD/MCMC Simulations, Analysis of Next Generation Sequencing Data, Genome Assembly, Proteomics
Wet Lab:
Basic Molecular Biology skills such as Cloning, Protein Purification, Cell Culture, Transfection.
Experience with sample preparation for and ha...
Tags
mongodb
nosql
hpc
oxford nanopore
sql
cloud computing
amazon web services
database
aws
structural biology
rna
protein
dna
simulations
monte carlo
structural bioinformatics
See more
Presentations
(1)Likes
(13)Part 1 of RNA-seq for DE analysis: Defining the goal
Joachim Jacob
•
10 years ago
RNAseq Analysis
Aureliano Bombarely
•
11 years ago
Genomics, Transcriptomics, Proteomics, Metabolomics - Basic concepts for clinicians
Prasenjit Mitra
•
6 years ago
Fehrman Nat Gen 2014 - Journal Club
Giovanni Marco Dall'Olio
•
8 years ago
Combining PacBio with short read technology for improved de novo genome assembly
Lex Nederbragt
•
11 years ago
150514 jts london_calling
Jared Simpson
•
8 years ago
MongoDB and the Internet of Things
MongoDB
•
8 years ago
OSCON 2012 MongoDB Tutorial
Steven Francia
•
11 years ago
Overview of Amazon Web Services
Amazon Web Services
•
11 years ago
IonGAP - an Integrated Genome Assembly Platform for Ion Torrent Data
Adrian Baez-Ortega
•
9 years ago
ECCMID 2015 - So I have sequenced my genome ... what now?
Nick Loman
•
9 years ago
TDD - Inevitable Challenge for Software Developers (phpkonf15 keynote)
Lemi Orhan Ergin
•
8 years ago
What can you learn from molecular modeling?
digitalbio
•
8 years ago
Personal Information
Organization / Workplace
Copenhagen Area, Capital Region, Denmark Denmark
Occupation
Interdisciplinary Life Scientist/ Bioinformatician
Industry
Education
About
Differentiation of neuronal cells by single-cell transcriptomics.
Data Analysis/ Visualisation:
Regression, Correlation, Bayesian methods, Classification, Linear Algebra, Calculus, Machine learning (ANN, SVM, clustering, ...), Parallel and distributed computing, AWS, C/C++, Matlab, Python (numPy, SciPy, Pandas, matplotlib), R, Bash, SQL, noSQL (MongoDB), ElasticSearch
Bioinformatics:
Molecular Modelling, Protein Structure Prediction, Docking, MD/MCMC Simulations, Analysis of Next Generation Sequencing Data, Genome Assembly, Proteomics
Wet Lab:
Basic Molecular Biology skills such as Cloning, Protein Purification, Cell Culture, Transfection.
Experience with sample preparation for and ha...
Tags
mongodb
nosql
hpc
oxford nanopore
sql
cloud computing
amazon web services
database
aws
structural biology
rna
protein
dna
simulations
monte carlo
structural bioinformatics
See more