Kevin D. Prinsloo, PhD

I am an enthusiastic neuroscientist, currently making the transition into industry as a Data Scientist. I got my PhD in Neuroscience & Psychology from the University of Glasgow. I have a strong background in signal processing in neuroscience, neuroimaging and research, resulting in a two year senior clinical engineer position in a medical device start-up in Dublin, Ireland. Subsequently I was offered a Postdoc position at the University of Rochester. My academic career has focused on trying to solve complex questions about how the brain processes information from the environment. Using data collected from state-of-the-art neuroimaging technologies my research has used various computational modeling techniques based on machine learning applications, signal processing and statistical analyses to investigate low-level acoustics processing to complex hierarchical language processing..

As my 5 year postdoc comes to an end, now is the perfect time for natural progression to start a new career path, one that was always the end goal. To move into industry as data scientist. Recently, I have been acepted onto the Science to Data Science (s2ds) Programme, as a fellow. The fellowship is aimed at facilitating the transition from academia to data science. More info can be found here. An intensive programme for PhD and Postdoc academics with the aim of accommodating the transition from academia to data science. The programme primarily involves the undertaking of a data science project to address a business problem in small teams, in collaboration with an industry partner.

Recently, I started writing Data Science articles on Medium. You can have a read by clicking on the icon below.


Currently looking for a data science role, London



Please do get in touch if you would like to discuss data science roles. You can download my CV below. While further down are some links to my recent work. Although some Github repos are not public but happy share these personally.

Kevin Prinsloo

Recent Work

Machine Learning Jupyter Notesbook

Portfolio of ML projects using various ML applications.

Modeling the influence of top-down predictions on speech processing

Semantic Context Enhances the Early Auditory Encoding of Speech.

Response Inhibition in Healthy Subjects: Establishing and Examining an EEG Data Repository from Multiple Study Sites

Portfolio of reseach and EEG-BIDS conversion.

General auditory and speech-specific contributions to cortical envelope tracking revealed using auditory chimeras

Preprint publication.

List of technical skills:
  • Python and a variety of libraries
  • Machine Learning (now exploring Deep and Reinforcement Learning)
    some projects and demo code are on my github profile
  • Statistics
  • Signal Processing, time-frequency analyses
  • Git and development best practices
  • SQL and Spark
  • Web designer in the making... (judging from the present website - cat overlap is WIP!)

Don't hesitate get in touch!

CREDIT & INSPIRATION: Although I have modified and assembled the code for this website, much of the foundation was taken from Dr Alex G. Rapidis who was also inspired by the incredible Codepen and creators there!