Personal Information
Organization / Workplace
Copenhagen Area, Capital Region, Denmark Denmark
Occupation
PhD student at University of Copenhagen
Industry
Education
About
Teaching machines to learn biology using probabilistic rules, translating biology into math, searching for interesting patterns by crunching mountains of data, putting different pieces of omics data to draw the whole picture of the underlying biology, all using Model Based Machine learning approaches, hard work and smiles
https://github.com/naarkhoo
Machine learning
Predictive analysis
Explanatory analysis
Bayesian Statistics
Model based machine learning
Bioinformatics
Microbiome
Whole exome/genome
Protein sequences/structures
RNA-seq, metabolomics
Networked (interaction) data
Computer Science
R/Matlab/Python/STAN/TensorFlow/Spark
CSS/HTML5/
Outreach
Fund Raising
Organizin...
Tags
microbiome
bioinformatics
qin nature 2012
microbiota
type 2 diabetes
phd-network
group-building
journal_club
See more
Presentations
(7)Likes
(8)Engagement, metrics and "recommenders"
Mounia Lalmas-Roelleke
•
4 years ago
A Multi-Armed Bandit Framework For Recommendations at Netflix
Jaya Kawale
•
5 years ago
Learning to Rank for Recommender Systems - ACM RecSys 2013 tutorial
Alexandros Karatzoglou
•
10 years ago
Notes from Coursera Deep Learning courses by Andrew Ng
Tess Ferrandez
•
6 years ago
Getting started with Google Cloud Training Material - 2018
JK Baseer
•
6 years ago
Getting to Equal 2018 - Spotlight on Young Leaders
accenture
•
5 years ago
Machine Learning in Banking
accenture
•
7 years ago
How a Takeoff in Advanced Robotics Will Power the Next Productivity Surge
Boston Consulting Group
•
9 years ago
Personal Information
Organization / Workplace
Copenhagen Area, Capital Region, Denmark Denmark
Occupation
PhD student at University of Copenhagen
Industry
Education
About
Teaching machines to learn biology using probabilistic rules, translating biology into math, searching for interesting patterns by crunching mountains of data, putting different pieces of omics data to draw the whole picture of the underlying biology, all using Model Based Machine learning approaches, hard work and smiles
https://github.com/naarkhoo
Machine learning
Predictive analysis
Explanatory analysis
Bayesian Statistics
Model based machine learning
Bioinformatics
Microbiome
Whole exome/genome
Protein sequences/structures
RNA-seq, metabolomics
Networked (interaction) data
Computer Science
R/Matlab/Python/STAN/TensorFlow/Spark
CSS/HTML5/
Outreach
Fund Raising
Organizin...
Tags
microbiome
bioinformatics
qin nature 2012
microbiota
type 2 diabetes
phd-network
group-building
journal_club
See more