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Cambridge Centre for Neuropsychiatric Research

 

Jiri Benacek

Jiri

Data Scientist

My academic journey began at Bangor University, where I studied undergraduate degree in Psychology with Neuropsychology. In Bangor, I had a chance to not only focus on quantitative research and neural systems, but also to assist with researches focusing on human-robot interaction, sensory processing using EEG and eye-tracking technology, and navigation strategies in virtual reality. All these experiences sparked a particular interest in an intersection of behavioural/neural sciences and technology. Upon completion of my undergraduate studies, I enrolled at The University of Edinburgh’s postgraduate course in Cognitive Science. During my studies there, I developed strong skills in applied data science and machine learning, as well as fundamental knowledge of neural computation and computational cognitive neuroscience, focused on realistic simulation of neurons, neural networks, and cognitive functions.
Here, at the Cambridge Centre for Neuropsychiatric Research, I am currently researching the dynamics of a response to pharmaceutical and/or therapeutic treatments across major diagnostic groups. For this, I am using a high-dimensional dataset combining various psychiatric batteries and proteomic biomarkers from collected dried blood spots in hopes of promoting a more holistic approach to mental health.

Contact: jb2346[at]cam.ac.uk

 

Pawel Eljasz

Paweł Eljasz

Computer Officer

To most of us not in "science" strictly it'll probably come as a surprise - amount of raw(machine rendered) data a  small sized lab can produce. Then put together a few of those, maybe not all small size, and it becomes easier to understand a need for a scientific team to use and rely daily on IT "heavier" systems. That data need storage to sit on, to be shared, need different software solutions for analysis, then to be sorted and archived. We take care of that life-cycle of biological data. But also of all the issues and challenges in/directly related to computer technology which our group may come across while researching. These are my responsibilities.

Contact: pe243[at]cam.ac.uk

 

Benedetta Spadaro

Benedetta

Research Assistant

After graduating in Natural Sciences (Pharmacology), I pursued a Master in Therapeutic Sciences at the University of Cambridge. During my Master, I investigated the future role of digital approaches in disease diagnoses and treatments, allowing me to gain a deeper understanding of clinical and business considerations required for a successful target product profile. I also developed skills in clinical trial design and in the regulatory frameworks governing the approval of diagnostic technologies.

My primary research interest is to design evidence-based diagnostics that can aid triage and treatment of neuropsychiatric conditions. As research assistant in the Bahn Lab, I am conducting systematic reviews on digital and non-digital mental health assessments to identify underserved patient populations and disease areas. I also work on both qualitative and quantitative studies to define the feasibility and validity of digital diagnostic approaches in psychiatry.

Contact: bs583[at]cam.ac.uk

 

Erin Funnell

Erin

Research Assistant

Whilst studying for a BSc in psychology at the University of Leeds, I completed a dissertation investigating the effect of transcranial magnetic stimulation on haemodynamic responses and benefits on cognitive functioning in older adults. In addition, I worked at the university as a research assistant focused on prioritization in working memory.

After graduating in 2019, I began working at Psyomics, a health technology start-up developing a diagnostic and screening app for common mental health conditions. Within this role, I contributed to developing the mental health assessment, validation and gaining a medical device certification.

My interests are in continuing to work towards developing evidence-based health technologies to support individuals with mental health concerns. Whilst working within the CCNR team, I am focusing on acceptability of health technologies for patients with and without chronic gynaecological conditions.

Contact: ef446[at]cam.ac.uk