Amit Gross is a life sciences and data-oriented researcher with a background in neurobiology, bioinformatics, computational neuroscience, scientific operations, and teaching.
My recent work has focused on computational analysis of Drosophila connectome data, including large-scale processing, graph-based analysis, synaptic organization, and visual/statistical interpretation of neural data. Alongside research, I have worked in scientific support and operations environments, including a core facility at the Weizmann Institute of Science and data/information systems work connected to Moderna's EMEA call center through IQVIA.
I have also taught and supported students and researchers in Python, research methods, neurohistology, microscopy, and scientific workflows. My portfolio reflects this mixed profile: scientific research, computational analysis, operational execution, and teaching.
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2024–
M.Sc. Research — Connectome Analysis
University of Haifa — Neurobiology & Bioinformatics
Computational and graph-based analysis of Drosophila connectome data as part of M.Sc. thesis work, including neuron skeleton processing, synaptic analysis, and large-scale data pipelines.
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2020–24
Scientific Operations & Research Support
Weizmann Institute of Science
Core facility support, confocal microscopy, immunofluorescence, researcher training, consultation, and scientific project support in a research environment.
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2017–20
Data & Information Systems
IQVIA / Moderna EMEA
Industry operations supporting Moderna's EMEA call center through IQVIA: data and information systems, KPI monitoring, system coordination, documentation, and reporting.
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20XX–XX
M.Sc. Neurobiology & Bioinformatics
University of Haifa
Computational analysis of Drosophila connectome data, including graph-based methods, synaptic organization, and large-scale data processing. (Year to be confirmed.)
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20XX–XX
B.Sc. Biology & Psychology
University of Haifa
Dual degree combining biological sciences and psychology. (Year to be confirmed.)