Jana Sperschneider
Senior Research Scientist at CSIRO
Canberra, Australia
Summary
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Senior🎓
Top SchoolJana Sperschneider is a Senior Research Scientist at CSIRO who combines deep bioinformatics and machine learning expertise to unravel genome biology and plant–pathogen interactions. With a PhD in bioinformatics and a decade of research experience spanning CSIRO and ANU (including an ARC DECRA), she develops widely used computational tools for effector prediction and long-read genomics. Jana leads the Data Intensive Approaches team, teaches reproducible Python-based workflows as a Software Carpentry instructor, and publishes on how rust fungi cause devastating crop diseases. Her work sits at the intersection of computational method development and practical crop protection, and she is active in the scientific community as an editorial and advisory board member.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Bioinformatics, Doctor of Philosophy - PhD, Bioinformatics at The University of Western AustraliaMaster's degree, Computer Science, Master's degree, Computer Science at The University of Freiburg
Github Skills (16)
prediction10
effector10
phasing10
proteins10
bioinformatics9
genome9
fasta8
genomics8
comparative-genomics8
genome-annotation8
localization7
python5
machine-learning4
shell3
data-wrangling2
Programming languages (4)
Github contributions (5)
JanaSperschneider/FindTelomeres
Dec 2019 - Aug 2020
A python script for finding telomeric repeats (TTAGGG/CCCTAA) in FASTA files
Contributions:12 commits, 11 pushes, 1 branch in 7 months
fastapythontelomeres
JanaSperschneider/EffectorP-1.0
Mar 2017 - Jun 2020
EffectorP: predicting fungal effector proteins from secretomes using machine learning
Contributions:2 releases, 6 commits, 1 PR in 3 years 4 months
machine-learning
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