top of page

CV

Aina Adekunle

Department of Physics

University of British Columbia

Vancouver, BC, V6T 1Z1

Canada

Phone: +1 709 701 6737

E-mail: aina@phas.ubc.ca

kunleaina@gmail.com

Skype: ainaadekunle

Social links

  • Tidal - Grey Circle
  • LinkedIn - Grey Circle
  • Facebook - Grey Circle
  • Twitter - Grey Circle
Untitled

First Name: Adekunle

Last Name: Aina

Position: Research Assistant

Office Room: Hennings, Room 408

Phone: +1 709 701 6737

Email: aina@phas.ubc.ca

kunleaina@gmail.com

Research Interest

I am generally interested in computational biophysics. My immediate goal is to become an independent researcher in this field. As a membler of Plotkin Lab at UBC, I currently use computational methods for the prediction of disease-specific epitopes for the treatment of neurodegenerative diseases.

Degrees

BSc, Physics (2014)

University of Lagos, Nigeria

MSc, Physics (2018)

University of Newfoundland, Canada

PhD, Biophysics (in view)

University of British Columbia, Canada

Summary of Skills
  • Oral and written communication skills developed through teaching experience

 

  • Analytical, research and computational skills gained as a Research Assistant

  • Proficiency in Linux, Unix command line, Python, SQL,  Git, Spreadsheets and Latex

  • Presentation, organizational and interpersonal skills practiced continuously as a Teaching and Research Assistant

  • Ability to work independently and willingness to learn, serve and lead as evidenced by work, volunteer and leadership experience

Work Experience
Research Assistant
University of British Columbia, Canada

​September 2018 - present

 

  • Conducting research using computational techniques

  • Synthesizing, analyzing and interpreting research data

  • Computational protein misfolding

  • Writing and editing materials for presentation and publication

 
Research Assistant
Memorial University of Newfoundland, Canada

​September 2016 - August 2018

 

  • Conducted research using computational techniques

  • Synthesized, analyzed and interpreted research data

  • Developed improved protein simulation algorithm

  • Wrote and edited materials for presentation and publication

 
Teaching Assistant
Memorial University of Newfoundland, Canada

​September 2016 - August 2018

  • Taught first-year Physics 1020 and Physics 1021

  • Assessed students’ laboratory reports

  • Marked and corrected students’ assignments

  • Invigilated and graded midterm and final exams

 

Graduate Assistant
University of Lagos, Nigeria

​November 2015 - present

 

  • Instructed about 2000 students in introductory Physics 102 and Physics 105

  • Advised students accordingly on the choice of courses to offer

  • Assessed students’ laboratory reports

  • Marked and corrected students’ assignments

  • Invigilated and graded midterm and final exams

Technologies

Python

Jupyter Lab

Pandas

NumPy

SciPy

Matplotlib

Seaborn

Scikit-learn

SQL

Git/GitHub

Linux OS

Unix Shell

Vim

Cluster Computing

LaTeX

Spreadsheets

Chimera

ProFASi

Graphviz

GIMP

Summary of Skills
  • Oral and written communication skills developed through teaching experience

 

  • Analytical, research and computational skills gained as a Research Assistant

  • Proficiency in Linux, Unix command line, Python, SQL,  Git, Spreadsheets and Latex

  • Presentation, organizational and interpersonal skills practiced continuously as a Teaching and Research Assistant

  • Ability to work independently and willingness to learn, serve and lead as evidenced by work, volunteer and leadership experience

Education​
Doctor of Philosophy in Biophysics
University of British Columbia, Canada

September 2018 - present

 

  • Research: Computational Biophysics

  • Topic: Computational prediction of epitopes and design of scaffolds for precise immunotherapy for neurodegenerative disease

  • Supervisor: Dr Steve Plotkin

 
Master of Science in Physics
Memorial University of Newfoundland, Canada

September 2016 - August 2018

 

  • Research: Computational Biophysics

  • Supervisor: Dr Stefan Wallin

  • GPA: 4.00 / 4.00

 

Bachelor of Science in Physics and Electronics
University of Lagos, Nigeria

​December 2009 - April 2014

 

  • First Class

Professional Development
Professional Skill Development Program (PSDP)
School of Graduate Studies, Memorial University, Canada

September - December 2017

 

Teaching Assistant Training Program (TATP)
School of Graduate Studies, Memorial University, Canada

October 2017

Certificate in Advanced Computing
Atlantic Computational Excellence Network (ACENET), Canada

September 2016

Professional Organizations
Member
Canadian Association of Physicists (CAP), Canada

January 2018 - present

Conferences and Presentations
Talks
 
[2] A. Aina, (2017), "Understanding Protein Dynamics by Single-molecule FRET"
Soft Condensed Matter Class, Memorial University, St. John’s, Canada

November 29, 2017

[1] J.N Longchamp, S. Rauschenbach, S. Abb, C. Escher, T. Latychevskaia, K. Kern, and H. W Fink, (2016), "Imaging proteins at the single-molecule level", PNAS 114 (7), 1474–1479, doi: 10.1073/pnas.1614519114
Biophysics Journal Club, Memorial University, St. John’s, Canada

March 2, 2017

Posters

[1] A. Aina and S. Wallin, (2017), "Multisequence algorithm for coarse-grained biomolecular simulations: Exploring the sequence-structure relationship of proteins", J. Chem. Phys. 147, 095102, https://doi.org/10.1063/1.4986933
Engineering Conference International (ECI) Association in Solution IV Conference, St. John’s, Canada

31 July – 4 August 2017

COURSES, PROGRAMS & CERTIFICATIONS

 

Advanced Business Analytics Specialization

Applied Data Science with Python (University of Michigan)

Data Analyst Professional Certificate (IBM)

Data Science Professional Certificate (IBM)

Data Science Specialization (John Hopkins University)

Data Science with Python Certification Training 

Data Scientist Career Path

Data Scientist Nano Degree Program

Data Scientist Program

Deep Learning Specialization

Machine Learning Course (Andrew Ng @ Stanford)

Machine Learning, Data Science and Deep Learning

Machine Learning Specialization (University of Washington)

Master Python for Data Science

Mathematics for Machine Learning (Imperial College London)

Programming with Python

Python for Everybody Specialization (University of Michigan)

Python Machine Learning Certification Training

Reinforcement Learning Specialization (University of Alberta)

Join our mailing list

Data Insight participates in affiliate programs and may sometimes get a commission through purchases made through our links without any additional cost to our visitors.

bottom of page