WELCOME TO
MY PORTFOLIO
Nadina O. Zweifel, PhD
Projects
Statistical characterization of tactile scenes in three-dimensional environments reveals filter properties of somatosensory cortical neurons
Natural scenes statistics have been studied extensively using collections of natural images and sound recordings. These studies have yielded important insights about how the brain might exploit regularities and redundancies in visual and auditory stimuli. In contrast, natural scenes for somatosensat...
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- Python
- C++
- MATLAB
A dynamical model for generating synthetic data to quantify active tactile sensing behavior in the rat
As it becomes possible to simulate increasingly complex neural networks, it becomes correspondingly important to model the sensory information that animals actively acquire: the biomechanics of sensory acquisition directly determines the sensory input and therefore neural processing. Here, we exploi...
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- C++
- Python
- MATLAB
Defining “active sensing” through an analysis of sensing energetics: homeoactive and alloactive sensing
The term “active sensing” has been defined in multiple ways. Most strictly, the term refers to sensing that uses self-generated energy to sample the environment (e.g., echolocation). More broadly, the definition includes all sensing that occurs when the sensor is moving (e.g., tactile stimuli obtain...
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- C++
- Python
Skills
I've worked with a range of tools and programming languages for data analysis, data visualization, signal processing, and machine learning.
Data Analysis
Experience with
Matlab libraries as well as SciPy and Pandas.Data Visualization
Experience with
Seaborn, Matplotlib, and Illustrator.Machine Learning
Experience with
Tensorflow/Keras, PyTorch, and Scikit-Learn
About Me
Starting off as an audio engineer, I acquired real work life experience in a demanding field that requires problem solving skills and flexibility as well as a clear head under short term pressure. I’ve expanded my practical engineering skills with an undergraduate degree in Systems Engineering and a Master and PhD degree in Biomedical Engineering. The choice of projects throughout my undergraduate and graduate studies let me deepen my knowledge in signal processing and data analysis and discover my great interest in computational problems. My most recent research focused on simulation and modeling as well as machine learning.
Curriculum Vitae
2008
Swiss Federal Cerificate in Audio Engineering
Tontechnikschule TTS
2014
Bachelor of Science in Systems Engineering
Zurich University of Applied Sciences
2016
Master of Science in Engineering (Biomedical Engineering)
Grand Valley State University
2022
PhD in Biomedical Engineering (Neural Engineering)
Northwestern University
Awards
Academic Excellence Award in Engineering
2016
Research Progress Award in Neural Engineering
2020