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 learningWebsite:
https://orcid.org/0000-0001-6857-341XGoogle:
"https://scholar.google.com/citations?user=AJJwTxoAAAAJ&hl=en"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
Sign in to add mentor| 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) | ||||
| Thomas J. Montine | post-doc | 2019- | Stanford (Neurotree) | |
| Serena Yeung | post-doc | 2021- | Stanford | |
Collaborators
Sign in to add collaborator| Andrew S. Moore | collaborator | 2017- | Penn | |
| (Actin cables and comet tails organize mitochondrial networks in mitosis) | ||||
| John Q. Trojanowski | collaborator | 2019- | Penn (Neurotree) | |
| (1. The development and convergence of co-pathologies in Alzheimer's disease, 2. In vitro amplification of pathogenic tau conserves disease-specific bioactive characteristics) | ||||
| 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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| Nollet EE, Duursma I, Rozenbaum A, et al. (2023) Mitochondrial dysfunction in human hypertrophic cardiomyopathy is linked to cardiomyocyte architecture disruption and corrected by improving NADH-driven mitochondrial respiration. European Heart Journal |
| Cimino PJ, Ketchum C, Turakulov R, et al. (2022) Expanded analysis of high-grade astrocytoma with piloid features identifies an epigenetically and clinically distinct subtype associated with neurofibromatosis type 1. Acta Neuropathologica |
| Rojansky R, Jhun I, Dussaq AM, et al. (2022) Rapid Deployment of Whole Slide Imaging for Primary Diagnosis in Surgical Pathology at Stanford Medicine. Archives of Pathology & Laboratory Medicine |
| Moore AS, Coscia SM, Simpson CL, et al. (2021) Actin cables and comet tails organize mitochondrial networks in mitosis. Nature |
| Wawro AM, Gajera CR, Baker SA, et al. (2021) Creatine transport and pathological changes in creatine transporter deficient mice. Journal of Inherited Metabolic Disease |
| 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 |