Mahsa Barzegar-Keshteli
Doctoral Assistant
Lausanne
Summary
Skilled in managing and conducting complex research projects across diverse scientific disciplines. Possess strong analytical abilities, adept at data collection, analysis, and interpretation to drive project objectives. Demonstrated capacity for critical thinking and problem-solving to advance scientific understanding and application. Contributed to significant improvements in research methodology and efficiency in previous roles, enhancing overall project outcomes.
Overview
8
8
years of professional experience
Work History
Doctoral Assistant
EPFL
Lausanne
10.2020 - Current
- Developing cutting-edge neural networks for automatic tracking of neurons.
- Building a user-friendly graphical interface for segmenting and tracking neurons.
- Investigating the role of interneurons and chemical odorants in behavior.
- Behavioral tracking of the model organism C. elegans.
- Conducting experiments using microfluidic chips for spatiotemporal resolution of stimulant and drug delivery.
Research Assistant
Forschungszentrum Caesar
Bonn
02.2019 - 09.2020
- Company Overview: Computational Neuroethology Department
- Website: http://www.caesar.de
- Computational modelling of olfactory bulb
- Searching for a plausible connectivity in glomerulus containing three Periglomerular cells that agrees with experimental data
- Using firing rate and compartmental models of the cells in MATLAB and NEURON
- Using unsupervised learning techniques for categorising the allowed models and making a deduction about general properties of the real model
- Computational Neuroethology Department
- Website: http://www.caesar.de
- Supervisor: Dr
- Kevin Briggman
Teaching Assistant
University of Bonn
Bonn
12.2016 - 06.2019
- Course title: Advanced Quantum Mechanics (Graduate Course)
- Course title: General Relativity (Graduate Course)
- Course title: Theoretical Particle Physics (Graduate Course)
- Course title: Theoretical Particle Physics (Graduate Course)
- Course title: General Relativity (Graduate Course)
- Recipient of Bonn Cologne Graduate School's Scholarship 2015-2018
Education
Ph.D. - Physics
École Polytechnique Fédérale De Lausanne
Lausanne, Switzerland02-2025
M.Sc - Physics
Rheinische Friedrich-Wilhelms-Universit¨at Bonn
Bonn, Germany06.2018
B.Sc. - Pure Mathematics
Sharif University of Technology
Tehran, Iran09.2015
B.Sc. Degree - Physics
Sharif University of Technology
Tehran, Iran09.2015
Skills
- Python
- C
- MATLAB
- Mathematica
- Machine learning
- Parallel programming
- LATEX
- Experimental design
- Neurobehavioral assessments
- Qualitative research
- Literature searches
- Technical writing
- Documentation skills
- Interdisciplinary collaboration
Honorsandawards
- Recipient of Bonn Cologne Graduate School's Scholarship, 2015-2018
- Ranked 253th Among more than 126,000 participants in Konkour, Summer 2010
- Awarded in the first round of 26th National Physics and Mathematics Olympiad, 03/01/08
Conferencesandschools
- String-Math annual conference, Hamburg, 07/24/17 - 07/29/17
- Pre-StringMath Summer School, Hamburg, 07/17/17 - 07/22/17
- Summer School 'Degeneration of Calabi-Yau varieties and arithmetic', Freiburg, 10/09/17 - 10/13/17
- Workshop on Advanced Methods in Theoretical Neuroscience, Göttingen, 07/09/19 - 07/12/19
Languages
- Persian, native
- English, fluent, 108, 29, 30, 27, 22, 326, 157, 169
- German, fair
Projects
Review literature of Conformal Field Theories and Minimal Models, Prof. Dr. Klemm
Teachingexperience
- Advanced Quantum Mechanics (Graduate Course), Winter Semester 2016 - 2017
- General Relativity (Graduate Course), Summer Semester 2017
- Theoretical Particle Physics (Graduate Course), Winter Semester 2018 - 2019
- Theoretical Particle Physics (Graduate Course), Winter Semester 2017 - 2018
- General Relativity (Graduate Course), Summer Semester 2018
Research
- Research assistantship at CAESAR institute, 02/01/19, Present, Computational modelling of olfactory bulb. Searching for a plausible connectivity in glomerulus containing three Periglomerular cells that agrees with experimental data. Using firing rate and compartmental models of the cells in MATLAB and NEURON. Using unsupervised learning techniques for categorising the allowed models and making a deduction about general properties of the real model., Dr. Kevin Briggman
- Master Thesis, 06/01/17, 06/30/18, Computations of Feynman Amplitude via Combinatorics and Mirror Symmetry: Relating Feynman amplitudes to periods of manifolds, and using differential equation of periods and Mirror Symmetry techniques for their computation., Prof. Dr. Albrecht Klemm
Languages
Persian
First Language
English
Proficient (C2)
C2
French
Upper Intermediate (B2)
B2
German
Intermediate (B1)
B1
References
References available upon request.
Timeline
Doctoral Assistant
EPFL
10.2020 - Current
Research Assistant
Forschungszentrum Caesar
02.2019 - 09.2020
Teaching Assistant
University of Bonn
12.2016 - 06.2019
Ph.D. - Physics
École Polytechnique Fédérale De Lausanne
M.Sc - Physics
Rheinische Friedrich-Wilhelms-Universit¨at Bonn
B.Sc. - Pure Mathematics
Sharif University of Technology
B.Sc. Degree - Physics
Sharif University of Technology
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