MSNE List of Students

This is a list of students enrolled in the MSNE program since program start in 2016.

Nikita Agarwal

I am interested in studying the underlying principles of cognitive processes and translating them into technology.

Abdallah Alashqar

Computational neuroscience and its utilization in understanding neural networks & dynamics for improved neuroprosthetics and interventions

Iustina Andronic

I am interested in neural mechanisms of hearing, auditory nerve modelling and sound perception with cochlear implants.

Mohammad Bashiri

Bayesian Inference; Cognitive Computational Neuroscience; Motor Memory and Learning; Brain Stimulation; Neural Data Analysis

Nicolas Berberich

Working on the science, philosophy and ethics of emerging technologies (robotics, AI, neurotech). Love systems science, humanism and Bildung.

Jonas Braun

Brain-Computer-Interfaces + Neuronal Dynamics + Closed Loop Neuronal Control + Control Engineering

Carlo De Donno

Data analysis at Sirotalab. Hoping to bring systems neuroscience and BCI research closer together in the future.

Michael Deistler

Theoretical Neuroscience, in particular the role of spike timing in the formation of memory and sensory perception

Viktorija Dimova

Germán Díez Valencia

My main interest is to develop artificial cognitive systems.

Cristina Gil Ávila

Computational approaches to cognition, Natural Language Processing, Science and Technologies Studies in Neuroscience

Elvin Hajizada

Computational Intelligence, Computational Neuroscience, Memory, Cognitive Psychology. I am interested in Grand theories of Intelligence.

Isabelle Hoxha

I am interested in brain signal processing and neuroprosthetics, and neurodegenerative diseases.

Raja Judeh

Neuroprosthetics, Deep Learning, Machine Learning

Mert Keser

I am interested in Deep Learning and Neuro-Robotics.

Ann Kotkat

Interested in Visual systems (biological and artificial), Neuroprosthetics, Brain Computer Interfaces and neuromorphic computing.

Nogay Küpelioğlu

Interested in Deep Learning, Reinforcement Learning and Neuro-Robotics. Nature-inspired neural networks is also an interest of mine.

James Lawton

Primarily interested in neural network representations of the brain, particularly with respect to affect and cognitive processes.

Aleksandar Levic

My main interests are neurorobotics and neuroprosthetics. I would also like to gain knowledge in neuromorphic systems.

Elio Nakhle

Interested in Brain computer interfaces and Neuroprosthetics

Vanessa Page

Systems neuroscience including optogenetics and in-vivo electrophysiology to find mechanistic explanations for emotional processing.

Elisa Pavarino

I'm genuinely curious about many domains of Neuroengineering, with a stronger focus on Connectomics and Computational Neurosciences.

Mariia Popova

I am interested in neuroprosthetics and BCI or robotics

Pranshul Saini

Neuropsychology, machine learning, brain-computer-interfaces (BCI), mindfulness research. I am working remotely with UC Davis

Steffen Schneider

I'm interested in making neural nets robust and data efficient, drawing inspiration from the brain

Auguste Schulz

I am most interested in neuroprosthetics and information transmission in neural circuits (particularily in vision and hearing).

Lisa Sogerer

Especially interested in brain signal processing, neurorecording methods and treatment of neuropsychiatric diseases.

Lucas Stoffl

I'm especially interested in the areas of artificial intelligence, deep learning and computational neuroscience.

Nick Tacca

Neuroprosthetics, Brain-Computer-Interfaces, Robotics

Aleksandra Teska

Computational Neuroscience, Data Analysis and Machine Learning

Annika Thierfelder

Interest towards Neurorehabilitation / Neuroprosthetics

Melanie Tschiersch

Neuroprosthetics and -robotics, Computational Neuroscience and Artificial Intelligence are topics that fascinate me.

Anna Vasilevskaya

Interested in Neurophysiology of human and animal visual systems, mechanisms of visual processing, modeling artificial visual systems.

Pooja Verma

Yagmur Yener

Getting inspiration from neuroscience for deep learning applications. Using deep learning for cracking the code of the brain.

Francisco Zurita

Neuroprosthetics, neural interfacing.