Lawrence McKechnie

EDUCATION

College / University

University of Glasgow

Highest Degree

Master of Science (honours)

Major Subjects

Molecular and Cellular Biology

McKechnie

Country

Scotland

Lab Experience

Macromolecular modelling tools such as rasmol and pymol; generation of computer simulations using MATLAB; basic molecular biology/biochemical/genetic techniques; various bioinformatics tools and statistical packages.

Projects / Research

  • The role of internal models in motor control. Prof. Stan Gielen, Biophysics research direction, Donders Institute, Nijmegen, the Netherlands
  • Relationship between dihedral geometry of dipeptides peptides and their chemistry of action. Prof. James Milner-White, University of Glasgow
  • Investigation into the application of nimbelgen micro arrays using PARTEK biostatistical software and DAVID bioinformatics tool. Dr. Pawel Herzyk, University of Glasgow
  • Investigation of Possible roles of ras protein in receptor clustering of NMDA NR1 subunit. Genes2Cognition project, Wellcome Trust Sanger Institute
  • The use of various computational methods to elucidate the meaning of the histone code. Dissertation / literature review, Dr. Brian Smith, University of Glasgow

Scholarships / Awards

2010 – 2011: Stipend by the International Max Planck Research School

SCIENTIFIC INTERESTS AND GOALS

I am deeply intrigued by how the brain can almost learn how to learn via trial and error, incorporating uncertainty into its representation of reality. This is a correspondence problem that has intrigued philosopher and scientist alike since the genesis of conceptual thought and can now be investigated using many of tools of modern neuroscience, an adventure I find extremely exciting. This aforementioned feature of learning how to learn is in contrast to a computer program that can be instructed to do various tasks in a deterministic manner. Currently, I am interested in research directions such as motor control, learning and memory (particularly epigenetic mechanisms), neural synchronization, bioinformatic approaches to brain evolution and computational/statistical analysis of biophysical aspects of neuronal function and possible neural mechanisms underlying the effect of mindfulness on depression. I also believe that science has a strong societal dimension or inflection and, therefore, I think it is important to apply and invoke findings of scientific research in order to understand the vectors of disease and psychiatric disorders, such as depression, anxiety to name but a few. By participating in this program, I would like to put my understanding of biology into context and make the transition from a student into a researcher where my knowledge/understanding can be expressed through the medium of research. I hope to both deepen and widen my understanding of many diverse areas of neuroscience and also learn/practice integrative methods that can make many exciting, relevant questions answerable.