Carly Bobak

LinkedInThesis lab


HOMETOWN
Guelph, Ontario, Canada

LANGUAGES
English

THESIS MENTOR
Dr. James O' Malley & Dr. Jane Hill

FAVORITE GENE
INDY

FAVORITE ALGORITHM
The Perceptron Algorithm

GRADUATE INSTITUTION
University of Guelph
Master of Science in Applied Statistics
Certificate in Business

UNDERGRADUATE INSTITUTION
University of Guelph
Bachelor of Arts in Applied Mathematics & Statistics

PREVIOUS WORK EXPERIENCE
BOLD Systems
Research Assistant
University of Guelph
Teaching Assistant
Platform 302
Business Intelligence Data Analyst

DARTMOUTH QBS PROFILE

THESIS TITLE
Development of a multi-cohort, multi-comics approach for identifying diagnostic tuberculosis biomarkers

CAREER TRACK(S)
Academia

AWARDS & TRAINING GRANTS
QBS Teaching Assistant Training Fellowship
Burroughs-Wellcome Big Data in the Life Sciences Training Fellowship

TECHNICAL EXPERTISE
Python, R, C, Fortran, Maple, MATLAB

EXTRACURRICULAR ACTIVITIES
Co-founder QuantBlitz (Dartmouth Data Analytics Club)

 


QBS PhD Experience

Electives
QBS177/MATH 177: Methods of Statistical Learning for Big Data, ENGG 199: Big Data Analytics for Biomarkers

Publications
ResearchGate
Poster Presentations

  • Multi-cohort network analysis allows for the comparison of biological functions related to TB. (Tuberculosis: Mechanisms, Pathogenesis and Treatment, 2019, Banff, Alberta, Canada) 
  • Network analysis of distinct cohorts allows for the comparison of key biological functions related to TB pathogenesis. (Pacific Symposium of Biocomputing, 2019, The Big Island, HI, USA)
  • Developing Diagnostics for Tuberculosis using Big Data. (Tuberculosis: Translating Scientific Findings for Clinical and Public Health Impact, 2018, Whistler, British Columbia, Canada)

Oral Presentations

  • Leveraging Network analysis of distinct cohorts to compare and discover biological functions related to Tuberculosis pathogenesis. (Quantitative Biomedical Sciences Research Showcase, 2019, Hanover, New Hampshire, USA)
  • Towards Computational Workflows to Increase Reproducibility in Biomarker Research with Case Studies in Tuberculosis. (Quantitative Biomedical Science’s Research in Progress, 2018, Hanover, NH, USA)
  • Evaluation of using a collective approach when selecting biomarker features from machine learning models. (IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018, Madrid, Spain)
  • Introducing Big Data in Biology. (New Hampshire Academy of Science, 2018, Lyme, New Hampshire, USA)
  • TB or not TB...Can data integration help us answer the question? (Quantitative Biomedical Science’s Research in Progress, 2018, Hanover, New Hampshire, US)
  • Investigating Random Forest Classification on Publicly Available Tuberculosis Data to Uncover Robust Transcriptional Biomarkers. (AI4Health Workshop, 11th International Joint Conference on Biomedical Engineering Systems and Technologies, 2018, Funchal, Madeira-Portugal)


My Interests

"A multi-cohort approach allows for the commonalities between many important subgroups of a Tuberculosis (TB) susceptible population (such as children and those with HIV confection) to be studied on a larger scale in order to identify common biomarkers indicative of active TB which are more clinically relevant. I am aiming to integrate many previous transcriptomic studies to predict potential metabolic biomarkers exhaled on breath through the use of pathway and network analysis."

RESEARCHER I ADMIRE
Leonardo da Vinci

FAVORITE RESEARCH PAPER
Origins of Magic

Why QBS?

"I entered the QBS program with a strong background in mathematics and statistics, but a fascination with health and infectious diseases. The true interdisciplinary nature of the QBS program allowed me to not only enhance my quantitative skills, but to fully explore biology and become a truly interdisciplinary scientist. I have the unique experience of having both a traditional wet-lab scientist and a bio-statistician as mentors, and am able to bring a strong range of expertise to develop projects that are both biologically and computationally relevant."

FAVORITE QBS CLASS
QBS 121: Foundations of Biostatistics II

Life @ Dartmouth

WHEN I AM NOT IN LAB... 
"I'm in the woods."