Vaibhav Tyagi

Vaibhav Tyagi

E: vaibhav.tyagi (@) plymouth.ac.uk

T: @vaibdesign

F: facebook.com/vaibpage

Project: The Risky Side of Creativity

Investigate the role of risk taking in creativity.

Interests

I am a neuroscientist with a background in neuroimaging, social psychology, eye tracking, programming, machine learning and bioinformatics. I am currently interested in investigating the role of domain specific risk taking in creativity. As an engineer and a neuroscientist, I am driven by a desire to understand how creative individuals make risky decisions when faced with uncertain scenarios.

Download the full CV here

Publications

Journal articles:

1. Tyagi, V., Hanoch, Y., Hall, S. D., Runco, M., & Denham, S. L. (2017). The risky side of creativity: domain specific risk taking in creative individuals. Frontiers in psychology, 8.

2. Koul, A.*, Tyagi, V.*, & Singh, N. C. (2014). Notational usage modulates attention networks in binumerates. Frontiers in human neuroscience, 8.

*Equal contribution

3. Tyagi, V., & Prasad, C. S. (2012). RAmiRNA: Software suite for generation of SVMbased prediction models of mature miRNAs. Bioinformation, 8(12), 581. 

Book reviews:

1. Tyagi, V. (2015). Subjective Time: The Philosophy, Psychology and Neuroscience of Temporality. Leonardo Reviews, Feb 2015.

Background

Research Experience

I am currently a Marie Curie Fellow at Plyomouth University. In the past, I have worked as a senior research fellow in a leading neuroscience institution in India on a project that was aimed at investigating how mathematical notations and symbols modulate attention networks in the brain (2010-2013). As a part of my master’s degree in information technology and engineering, I have developed and published a support vector machine based software toolkit for prediction of micro-RNAs in human genome (2008-2010) [for more info, please refer to publications above].

Technical skills

I have used Psychopy, E-basic + E-studio (E-prime) and Presentation to support my research in the past. I have developed a software toolkit for machine learning based classification of human genome and a Matlab Toolbox for automated dynamic causal model generation. I have an experience in designing, collecting and analysing neuroimaging (functional MRI), eye tracking and behavioural data from human participants. I use both Bayesian and Frequentist statistical analysis techniques to complement my research (SPSS and JASP).

Roles in CogNovo

Co-founder and Co-organiser of CogNovo seminar series, student representative for Marie Curie Fellows, mentor for bachelors and masters research students.

Professional Experience

(a) Reviewer for the 2nd Marconi Institute of Creativity conference on creativity in Bologna (b) Officially recognized contributor to the 'extended food-pics' database of standardised picture stimuli (https://sites.google.com/site/eatingandanxietylab/resources/food-pics) for behavioral research (c) Teaching assistant at the Indian Institute of Information Technology, Allahabad, India (d) Assistant Professor at Lovely Professional University, Jalandhar, India.

Education

I am an engineer with a master’s degree in information technology from Indian Institute of Information Technology, Allahabad, India. I obtained my bachelors degree in the field of biotechnology.