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 (17)
proteins10
phasing9
bioinformatics9
prediction9
genome8
genome-annotation8
prediction-model8
pattern-recognition7
localization7
comparative-genomics7
genomics7
effector5
machine-learning5
pipeline4
shell3
Programming languages (4)
Github contributions (5)
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
proteinseffectormachine-learning
JanaSperschneider/EffectorP-3.0
Mar 2021 - May 2022
Contributions:2 releases, 44 commits, 40 pushes in 1 year 2 months
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