Jeff Nirschl
Assistant Professor at University of Wisconsin-Madison
Greater Madison Area United States
Summary
👤
Senior🎓
Top SchoolJeff Nirschl is a physician-scientist and computational researcher who combines nine years of clinical and research experience at the intersection of neuropathology, computer vision, and digital pathology. He trained MD/PhD-level wet-lab and microscopy skills while building end-to-end deep learning pipelines for classification and segmentation in cardiac and renal pathology, and his work has direct clinical applications such as detecting cardiac transplant rejection and classifying heart failure. Through residency and fellowship at Stanford he developed broad diagnostic expertise and cross-specialty collaboration experience that uniquely inform his algorithm design and validation in real-world healthcare settings. Now an Assistant Professor at the University of Wisconsin–Madison after postdoctoral biomedical computer vision work at Stanford, he is positioned to lead “full-stack” computational pathology projects that bridge bench, clinic, and machine learning. A less obvious strength is his sustained hands-on microscopy background, which gives him rare fluency in both image acquisition artifacts and model-level solutions.
9 years of coding experience
3 years of employment as a software developer
M.D.-Ph.D. Cell/Cellular and Molecular Biology Neurobiology, M.D.-Ph.D. Cell/Cellular and Molecular Biology Neurobiology at University of Pennsylvania School of MedicineBay Area Deep Learning School, 2016Universidad de SalamancaBS BS Biology with Honors and Highest Distinction, BS BS Biology with Honors and Highest Distinction at University of Iowa
English, Spanish
Github Skills (22)
java9
python8
cntk8
machine-learning7
deep-learning7
neural-network6
representation-learning6
dvc5
intellij5
convolutional-neural-networks4
medical-image-analysis4
latex4
kaggle4
image-analysis4
intellij-plugin4
Programming languages (4)
Github contributions (5)
jnirschl/cell_decoder
Sep 2017 - Jan 2021
A neural network API for biological image analysis and phenotypic profiling.
Contributions:43 commits, 1 PR, 1 push in 3 years 4 months
image-analysisneural-networkprofiling
jnirschl/titanic_dvc
Jan 2021 - Aug 2022
Personal code for using DVC to predict survival on the Kaggle Titanic dataset
Contributions:101 commits, 11 PRs, 85 pushes in 1 year 7 months
dvckaggle
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