Neo4j GraphDay Munich - Health & Life Sciences Martin Preusse, Knowing

1. Martin Preusse
I work with data to improve health research

2. Martin Preusse
PhD Computational Biology
Consulting
Postdoc
Knowing Health
2016
2018
2019
2017
2012

9. communicate
understand
clean
structure
store
label
model
validate
transfer
collect
integrate
predict

10. clean structure
store
label
model validatecollect integrate
predictcommunicate transfer

11. clean structure
store
label
model validatecollect integrate
predictcommunicate transfer
deeplearning

15. Cell Map
A map of all things in the cell, implemented in neo4j.

16. A startup to improve data integration and
make data more accessible.

18. metabolite
gene
mutation
biomarker or drug target
risk
mutation
regulated
gene
associated
metabolite

19. "Low-input,
high-throughput,
no-output
biology."
Sydney Brenner

20. neo4j

22. micro arrays
RNA-seq
metabolomics
ChIP-seq
proteomics
Associations
CNV

24. Can you build a recurrent neural network for gene activity
prediction based on combined histone ChIP-seq and RNA-
seq experiments to improve current prediction models and
allow cross-referencing DNA methylation in order to
decipher multi-level epigenomics?

25. I found gene Klr2, does it regulate DNA methylation?

27. Dr. Nikola Müller
Founder
Dr. Martin Preusse
Founder
Tanya Kozel
Software Development
Rebecca Vázquez
Marketing & Business
Development
&
Prof. Dr. Dr. Fabian Theis
Mentor & Scientific advisor
Annette Leonhard
Mentor
We are
Peter Kreitmaier
Bioinformatician

29. martin.preusse@gmail.com