Computational Neuroscience, Cognition and AI MSc
Send a job offer directly to this candidate
I am a dedicated and highly motivated postgraduate student currently pursuing a Master’s degree in ‘Computational Neuroscience, Cognition, and A.I.’ at the University of Nottingham. My academic journey has been enriched by a diverse range of modules, including practical biomedical modelling, machine learning in science, computational cognitive psychology, and neural computation. This educational background has equipped me with a strong foundation in both computational neuroscience and artificial intelligence, developing a unique blend of skills that enable me to tackle complex problems at the intersection of biology, cognition, and technology. I am passionate about leveraging these skills to drive innovation and make meaningful contributions to the field of computational neuroscience and A.I.
Customer Assistant, Tesco, Crawley
August 2018 – present
Acquired interpersonal skills demonstrated through dealing with a large number of customers who require different services.
Responsible for taking in large deliveries and checking product coming in is up to code and being stored at the correct temperatures and in the correct condition.
Waiter, Dolly’s Tea Room, Leicester
July 2016-July 2017
Working in a high pressure, customer facing environment gave me the chance to enhance my time management and communication skills.
Learnt to work efficiently by being proactive and identifying which tasks needed prioritising.
MSc - Computational Neuroscience, Cognition, and A.I.
Key Modules: Practical Biomedical Modelling, Machine Learning in Science 1 and 2, Computational Cognitive Psychology, Neural Computation
Skills & Focus:
Proficient in applying machine learning techniques to scientific and cognitive problems, including classification, regression, and deep learning.
Skilled in developing computational models for biomedical systems, aiding in the understanding of complex biological processes.
Familiar with neural network architectures and their applications in simulating brain functions and behaviour.
Experienced in using computational methods to model and analyse cognitive processes, shedding light on human behaviour and decision-making.
Proficient in data pre-processing, statistical analysis, and data visualization, essential for drawing insights from complex datasets.
Proficient in programming languages such as Python, R, and MATLAB, with a focus on scientific computing and data manipulation.
Demonstrated ability to conduct research, formulate hypotheses, and solve complex problems at the intersection of neuroscience and artificial intelligence.
Experienced in working collaboratively with professionals from diverse fields,
bridging the gap between neuroscience, cognitive science, and technology.
Developed strong analytical and critical thinking skills necessary for evaluating and improving computational models and algorithms.
Effective written and oral communication skills for presenting research findings,
collaborating with teams, and explaining complex concepts to diverse audiences.
BSc (Hons 2:1) - Mathematics
University of Sussex, 2017-2021
Wilfrid Laurier University, Ontario, Canada (Study Abroad), 2019-2020
Key Modules: Linear Statistical Models, Probability and Statistics, Continuum Mechanics, Numerical Analysis 1 and 2, Dynamical Systems, Coding Theory