Jeffrey J Nirschl, M.D./ Ph.D.

Affiliations: 
2008-2011 Biology University of Iowa, Iowa City, IA 
 2011-2019 Medicine University of Pennsylvania Perelman School of Medicine 
 2013-2017 Physiology University of Pennsylvania, Philadelphia, PA, United States 
 2019- Pathology Stanford University, Palo Alto, CA 
Area:
Cell biology, Computer vision, Digital pathology, Neurodegeneration, Neuroscience, Machine learning
Website:
https://researchgate.net/profile/Jeffrey_Nirschl
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"Jeffrey Nirschl"
Bio:

Jeffrey J. Nirschl, M.D., Ph.D. is a resident physician at Stanford University, Stanford, CA, in the Department of Pathology. He completed his Ph.D. in Neuroscience at the University of Pennsylvania under the supervision of Dr. Erika Holzbaur. During his thesis, he investigated the regulation of axonal transport and genetic forms of parkinsonism. He also developed computational image analysis workflows for fluorescence microscopy and digital pathology. His research interests include molecular motors and the neuronal cytoskeleton, the regulation of axonal transport in neurodegeneration, digital pathology and quantitative image analysis using machine learning.

Parents

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Alberto Ferrús research assistant 2010-2010 Instituto Cajal (CSIC) (Evolution Tree)
 (Undergraduate Research Assistant (summer 2010): Characterized the behavioral correlates of early synapse loss in a Drosophila model of Alzheimer’s.)
Chun-Fang Wu research assistant 2010-2011 University of Iowa (FlyTree)
 (Senior Undergraduate Honors Thesis: Studied the mechanisms of aging and lifespan extension in SOD1 mutant Drosophila. Developed software to detect, track, and quantify Drosophila behavior and locomotion from videos.)
Erika L. F. Holzbaur grad student 2013-2017 University of Pennsylvania Perelman School of Medicine
 (Ph.D. Thesis "Computational Image Analysis for Axonal Transoprt, Phenotypic Profiling, and Digital Pathology": Investigated the mechanisms and regulation of dynein-dynactin mediated axonal transport and how these processes are disrupted in neurodegenerati)

Collaborators

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Meng-meng Fu collaborator 2014-2014 Penn
 (LC3 Binding to the Scaffolding Protein JIP1 Regulates Processive Dynein-Driven Transport of Autophagosomes)
Jacob E. Lazarus collaborator 2014-2015 Penn
 (alpha-Tubulin Tyrosination and CLIP-170 Phosphorylation Regulate the Initiation of Dynein-Driven Transport in Neurons)
Amy E. Ghiretti collaborator 2016-2017 Penn (Neurotree)
 (1) Lipid Rafts Assemble Dynein Ensembles; 2) The impact of cytoskeletal organization on the local regulation of neuronal transport)
Pallavi P. Gopal collaborator 2016-2017 Penn (Neurotree)
 (Amyotrophic lateral sclerosis-linked mutations increase the viscosity of liquid-like TDP-43 RNP granules in neurons)
Carsten Janke collaborator 2015-2018 Institut Curie, Paris, France (Neurotree)
 (1) alpha-Tubulin Tyrosination and CLIP-170 Phosphorylation Regulate the Initiation of Dynein-Driven Transport in Neurons; (2) Kinesin-3 Responds to Local Microtubule Dynamics to Target Synaptic Cargo Delivery to the Presynapse)
Pedro Guedes-Dias collaborator 2016-2018 Penn
 (Kinesin-3 Responds to Local Microtubule Dynamics to Target Synaptic Cargo Delivery to the Presynapse)
Michael D. Feldman collaborator 2014-2019 Penn
 (1) Deep Learning Tissue Segmentation in Cardiac Histopathology Images; (2) A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue)
Andrew Janowczyk collaborator 2014-2019 Case Western
 (1) Deep Learning Tissue Segmentation in Cardiac Histopathology Images; (2) A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue)
Anant Madabhushi collaborator 2014-2019 Case Western (BME Tree)
 (1) Deep Learning Tissue Segmentation in Cardiac Histopathology Images; (2) A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue)
Kenneth B. Margulies collaborator 2014-2019 University of Pennsylvania Perelman School of Medicine (BME Tree)
 (1) Deep Learning Tissue Segmentation in Cardiac Histopathology Images; (2) A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue)
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Publications

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Guedes-Dias P, Nirschl JJ, Abreu N, et al. (2019) Kinesin-3 Responds to Local Microtubule Dynamics to Target Synaptic Cargo Delivery to the Presynapse. Current Biology : Cb. 29: 268-282.e8
Nirschl JJ, Janowczyk A, Peyster EG, et al. (2018) A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue. Plos One. 13: e0192726
Nirschl JJ, Ghiretti AE, Holzbaur ELF. (2017) The impact of cytoskeletal organization on the local regulation of neuronal transport. Nature Reviews. Neuroscience
Gopal PP, Nirschl JJ, Klinman E, et al. (2017) Amyotrophic lateral sclerosis-linked mutations increase the viscosity of liquid-like TDP-43 RNP granules in neurons. Proceedings of the National Academy of Sciences of the United States of America
Nirschl JJ, Ghiretti AE, Holzbaur EL. (2016) Lipid Rafts Assemble Dynein Ensembles. Trends in Biochemical Sciences
Nirschl JJ, Magiera MM, Lazarus JE, et al. (2016) α-Tubulin Tyrosination and CLIP-170 Phosphorylation Regulate the Initiation of Dynein-Driven Transport in Neurons. Cell Reports
Nirschl JJ, Holzbaur EL. (2016) Live-cell imaging of retrograde transport initiation in primary neurons. Methods in Cell Biology. 131: 269-76
Fu MM, Nirschl JJ, Holzbaur EL. (2014) LC3 binding to the scaffolding protein JIP1 regulates processive dynein-driven transport of autophagosomes. Developmental Cell. 29: 577-90
Iyengar A, Imoehl J, Ueda A, et al. (2012) Automated quantification of locomotion, social interaction, and mate preference in Drosophila mutants. Journal of Neurogenetics. 26: 306-16
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