Yael Mandelblat-Cerf
Neuroscientist
- Role
- Chief, Molecular and Cellular Neuroscience Research Branch, Nimh at NIH Innovates
- Location
- Cambridge, MA, US
- LinkedIn followers
- 500 followers
About Yael Mandelblat-Cerf
o 20+ years leading neuroscience research, drug development and translational research programs, across academia and industry. o Deep interdisciplinary expertise in electrophysiology, systems neuroscience, cognitive neuroscience and behavioral pharmacology o Biomarker development for translational neuroscience.o Experience in back-translation of human findings to animal systemso Experience with high-throughput screening assays.o Manage CRO work and academic collaborations.o Leader of complex external collaborations and academic-industry consortiao Leading early stage projects in drug discovery.o Passion for translational science and developing drugs to address urgent medical needs.o Cross-species in vivo expertise spanning rodents, NHP and humans.o Broad knowledge of the nervous system and animal models of disease. o Extensive hands on lab experience in in-vivo electrophysiology (single neurons recordings, LFP and EEG), optogenetics and calcium imaging.o Strong computational skills: Ample experience in data analyses of different neural and behavioral signals, utilizing signal processing, algorithm development, and machine learning tools. o 8+ years managing and mentoring students and colleagues.
Experience
Chief, Molecular and Cellular Neuroscience Research Branch, Nimh
Jan 2023 — Present
Education
Ben-Gurion University of the Negev
MSc, medical engineering - computational neuroscience
2000 — 2002
The Hebrew University of Jerusalem
Doctor of Philosophy (Ph.D.), Neuroscience
Ben-Gurion University of the Negev
BSc, computer science and bioinformatics
1996 — 2000
Skills
- Image Processing
- Confocal Microscopy
- Bioinformatics
- Microscopy
- Scientific Writing
- In Vivo
- Machine Learning
- Signal Processing
- C
- Physiology
- Mathematical Modeling
- Electrophysiology
- Computational Neuroscience
- Experimentation
- Data Analysis
- Research
- C/C++
- Biomedical Engineering
- Lifesciences
- Computational Biology
- Neuroscience
- Matlab
- Animal Models
- Science
- Fluorescence Microscopy
- Computer Vision
- Algorithms
- Life Sciences
- Physics
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