{"id":2880,"date":"2019-04-18T08:51:01","date_gmt":"2019-04-18T12:51:01","guid":{"rendered":"https:\/\/geiselmed.dartmouth.edu\/qbs\/?page_id=2880"},"modified":"2024-05-06T14:14:40","modified_gmt":"2024-05-06T18:14:40","slug":"cbobak","status":"publish","type":"page","link":"https:\/\/geiselmed.dartmouth.edu\/qbs\/people\/cbobak\/","title":{"rendered":"Carly Bobak"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-3586 size-full\" src=\"https:\/\/geiselmed.dartmouth.edu\/qbs\/wp-content\/uploads\/sites\/32\/2019\/05\/P1010828-e1557242465237.jpg\" alt=\"\" width=\"3264\" height=\"1770\" srcset=\"https:\/\/geiselmed.dartmouth.edu\/qbs\/wp-content\/uploads\/sites\/32\/2019\/05\/P1010828-e1557242465237.jpg 3264w, https:\/\/geiselmed.dartmouth.edu\/qbs\/wp-content\/uploads\/sites\/32\/2019\/05\/P1010828-e1557242465237-300x163.jpg 300w, https:\/\/geiselmed.dartmouth.edu\/qbs\/wp-content\/uploads\/sites\/32\/2019\/05\/P1010828-e1557242465237-768x416.jpg 768w, https:\/\/geiselmed.dartmouth.edu\/qbs\/wp-content\/uploads\/sites\/32\/2019\/05\/P1010828-e1557242465237-1024x555.jpg 1024w, https:\/\/geiselmed.dartmouth.edu\/qbs\/wp-content\/uploads\/sites\/32\/2019\/05\/P1010828-e1557242465237-101x55.jpg 101w, https:\/\/geiselmed.dartmouth.edu\/qbs\/wp-content\/uploads\/sites\/32\/2019\/05\/P1010828-e1557242465237-1600x868.jpg 1600w, https:\/\/geiselmed.dartmouth.edu\/qbs\/wp-content\/uploads\/sites\/32\/2019\/05\/P1010828-e1557242465237-800x434.jpg 800w, https:\/\/geiselmed.dartmouth.edu\/qbs\/wp-content\/uploads\/sites\/32\/2019\/05\/P1010828-e1557242465237-580x315.jpg 580w\" sizes=\"auto, (max-width: 3264px) 100vw, 3264px\" \/><\/p>\n<p style=\"text-align: right\"><a target=\"_blank\" href=\"https:\/\/www.linkedin.com\/in\/carly-bobak-28752579\/\" class=\"wpz-sc-button large\" style=\";background:#dedede\"><span><i class=\"fa fa-linkedin\" style=\"padding-right:6px;\"><\/i><strong>LinkedIn<\/strong><\/span><\/a><a target=\"_blank\" href=\"http:\/\/engineering.dartmouth.edu\/hill-lab\/\" class=\"wpz-sc-button large\" style=\";background:#dedede\"><span><i class=\"fa fa-flask\" style=\"padding-right:6px;\"><\/i><strong>Thesis lab<\/strong><\/span><\/a><\/p>\n<hr \/>\n<div class=\"threecol-one\">\n<p><span style=\"font-size: 12pt\"><strong><span style=\"color: #808080\">HOMETOWN<\/span><\/strong><\/span><br \/>\n<span style=\"font-size: 14pt;color: #000000\"><strong>Guelph, Ontario, Canada<\/strong><\/span><\/p>\n<p><strong><span style=\"color: #808080;font-size: 12pt\">LANGUAGES<\/span><\/strong><br \/>\n<span style=\"font-size: 14pt;color: #000000\"><strong>English<\/strong><\/span><\/p>\n<p><strong><span style=\"color: #808080;font-size: 12pt\">THESIS MENTOR<\/span><\/strong><br \/>\n<a href=\"https:\/\/geiselmed.dartmouth.edu\/faculty\/facultydb\/view.php\/?uid=5311\" target=\"_blank\" rel=\"noopener\"><span style=\"font-size: 14pt\"><strong>Dr. James O' Malley <\/strong><\/span><\/a><span style=\"font-size: 14pt\"><strong>&amp; <a href=\"https:\/\/engineering.dartmouth.edu\/people\/faculty\/jane-hill\" target=\"_blank\" rel=\"noopener\">Dr. Jane Hill<\/a><\/strong><\/span><\/p>\n<p><strong><span style=\"color: #808080;font-size: 12pt\">FAVORITE GENE<\/span><\/strong><br \/>\n<a href=\"https:\/\/www.genecards.org\/cgi-bin\/carddisp.pl?gene=SLC13A5\" target=\"_blank\" rel=\"noopener\"><em><span style=\"font-size: 14pt;color: #000000\"><strong>INDY<\/strong><\/span><\/em><\/a><\/p>\n<p><strong><span style=\"color: #808080;font-size: 12pt\">FAVORITE ALGORITHM<\/span><\/strong><br \/>\n<span style=\"color: #000000\"><span style=\"font-size: 18.6667px\"><b>The Perceptron Algorithm<\/b><\/span><\/span><\/p>\n<\/div>\n<div class=\"threecol-one\">\n<p><strong><span style=\"color: #808080;font-size: 12pt\">GRADUATE INSTITUTION<\/span><\/strong><br \/>\n<span style=\"color: #000000\"><strong><span style=\"font-size: 14pt\">University of Guelph<\/span><\/strong><\/span><br \/>\n<em>Master of Science in Applied Statistics<\/em><br \/>\n<em>Certificate in Business<\/em><\/p>\n<p><strong><span style=\"color: #808080;font-size: 12pt\">UNDERGRADUATE INSTITUTION<\/span><\/strong><br \/>\n<span style=\"color: #000000\"><strong><span style=\"font-size: 14pt\">University of Guelph<\/span><\/strong><\/span><br \/>\n<em>Bachelor of Arts in Applied Mathematics &amp; Statistics<\/em><\/p>\n<p><strong><span style=\"color: #808080;font-size: 12pt\">PREVIOUS WORK EXPERIENCE<\/span><\/strong><br \/>\n<span style=\"color: #000000\"><span style=\"font-size: 18.6667px\"><a href=\"http:\/\/www.boldsystems.org\/\" target=\"_blank\" rel=\"noopener\"><b>BOLD Systems<\/b><\/a><\/span><\/span><br \/>\n<em>Research Assistant<\/em><br \/>\n<span style=\"font-size: 14pt;color: #000000\"><b>University of Guelph<\/b><\/span><br \/>\n<em>Teaching Assistant<\/em><br \/>\n<span style=\"font-size: 14pt;color: #000000\"><b>Platform 302<\/b><\/span><br \/>\n<em>Business Intelligence Data Analyst<\/em><\/p>\n<\/div><div class=\"threecol-one last\"><div class=\"wpz-sc-box normal large rounded \"><span style=\"font-size: 18pt;color: #008000\"><strong>DARTMOUTH QBS PROFILE<\/strong><\/span><\/p>\n<p style=\"text-align: left\"><span style=\"font-size: 12pt\"><strong><span style=\"color: #808080\">THESIS TITLE<\/span><\/strong><\/span><br \/>\n<strong><span style=\"font-size: 12pt;color: #000000\">Development of a multi-cohort, multi-comics approach for identifying diagnostic tuberculosis biomarkers<\/span><\/strong><\/p>\n<p style=\"text-align: left\"><strong><span style=\"color: #808080;font-size: 12pt\">CAREER TRACK(S)<\/span><\/strong><br \/>\n<strong><span style=\"font-size: 12pt;color: #000000\">Academia<\/span><\/strong><\/p>\n<p style=\"color: #808080;font-size: 12pt\"><strong>AWARDS &amp; TRAINING GRANTS<\/strong><br \/>\n<span style=\"color: #000000\"><strong>QBS Teaching Assistant Training Fellowship<\/strong><\/span><br \/>\n<span style=\"color: #000000\"><strong>Burroughs-Wellcome Big Data in the Life Sciences Training Fellowship<\/strong><\/span><\/p>\n<p style=\"text-align: left\"><strong><span style=\"color: #808080;font-size: 12pt\">TECHNICAL EXPERTISE<\/span><\/strong><br \/>\n<strong><span style=\"font-size: 12pt;color: #000000\">Python, R, C, Fortran, Maple, MATLAB<\/span><\/strong><\/p>\n<p style=\"color: #808080;font-size: 12pt\"><strong>EXTRACURRICULAR ACTIVITIES<\/strong><br \/>\n<span style=\"color: #000000;font-size: 12pt\"><strong>Co-founder QuantBlitz (Dartmouth Data Analytics Club)<br \/>\n<\/strong><\/span><\/p>\n<p style=\"text-align: left\"><\/div><\/p>\n<p style=\"text-align: left\"><\/div><\/p>\n<p>&nbsp;<\/p>\n<hr \/>\n<p style=\"text-align: center\"><div class=\"wpz-sc-box normal large rounded \"><span style=\"color: #008000;font-size: 24pt\"><strong>QBS PhD Experience<\/strong><\/span><\/p>\n<p><span style=\"color: #808080\"><strong><span style=\"font-size: 18pt\">Electives<\/span><\/strong><\/span><br \/>\n<span style=\"color: #000000\"><span style=\"font-size: 12pt\"><strong><a href=\"https:\/\/geiselmed.dartmouth.edu\/qbs\/qbs-177-methods-of-statistical-learning-for-big-data\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-size: 12pt\">QBS177\/MATH 177<\/span><\/a><span style=\"font-size: 12pt\">: Methods of Statistical Learning for Big Data, <a href=\"https:\/\/engineering.dartmouth.edu\/academics\/courses\/engg199-06\" target=\"_blank\" rel=\"noopener\">ENGG 199<\/a>: Big Data Analytics for Biomarkers<\/span><\/strong><\/span><\/span><\/p>\n<p><span style=\"color: #808080\"><strong><span style=\"font-size: 18pt\">Publications<\/span><\/strong><\/span><br \/>\n<a target=\"_blank\" href=\"https:\/\/www.researchgate.net\/profile\/Carly_Bobak\" class=\"wpz-sc-button medium\" style=\";background:#dedede\"><span><i class=\"fa fa-file-text-o\" style=\"padding-right:6px;\"><\/i><strong>ResearchGate<\/strong><\/span><\/a><br \/>\n<span style=\"color: #808080\"><strong><span style=\"font-size: 18pt\">Poster Presentations<\/span><\/strong><\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;font-size: 12pt\"><em>Multi-cohort network analysis allows for the comparison of biological functions related to TB.<\/em>\u00a0(Tuberculosis: Mechanisms, Pathogenesis and Treatment, 2019, Banff, Alberta, Canada)\u00a0<\/span><\/li>\n<li><span style=\"color: #000000;font-size: 12pt\"><em>Network analysis of distinct cohorts allows for the comparison of key biological functions related to TB pathogenesis<\/em>. (Pacific Symposium of Biocomputing, 2019, The Big Island, HI, USA)<\/span><\/li>\n<li><span style=\"font-size: 12pt;color: #000000\"><em>Developing Diagnostics for Tuberculosis using Big Data.<\/em>\u00a0(Tuberculosis: Translating Scientific Findings for Clinical and Public Health Impact, 2018, Whistler, British Columbia, Canada)<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #808080\"><strong><span style=\"font-size: 18pt\">Oral Presentations<\/span><\/strong><\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;font-size: 12pt\"><em>Leveraging Network analysis of distinct cohorts to compare and discover biological functions related to Tuberculosis pathogenesis. <\/em>(Quantitative Biomedical Sciences Research Showcase, 2019, Hanover, New Hampshire, USA)<\/span><\/li>\n<li><span style=\"color: #000000;font-size: 12pt\"><em>Towards Computational Workflows to Increase Reproducibility in Biomarker Research with Case Studies in Tuberculosis.<\/em>\u00a0(Quantitative Biomedical Science\u2019s Research in Progress, 2018, Hanover, NH, USA)<\/span><\/li>\n<li><span style=\"color: #000000;font-size: 12pt\"><em>Evaluation of using a collective approach when selecting biomarker features from machine learning models.<\/em>\u00a0(IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018, Madrid, Spain)<\/span><\/li>\n<li><span style=\"color: #000000;font-size: 12pt\"><em>Introducing Big Data in Biology.<\/em>\u00a0(New Hampshire Academy of Science, 2018, Lyme, New Hampshire, USA)<\/span><\/li>\n<li><span style=\"color: #000000;font-size: 12pt\"><em>TB or not TB...Can data integration help us answer the question?<\/em>\u00a0(Quantitative Biomedical Science\u2019s Research in Progress, 2018, Hanover, New Hampshire, US)<\/span><\/li>\n<li><span style=\"color: #000000;font-size: 12pt\"><em> Investigating Random Forest Classification on Publicly Available Tuberculosis Data to Uncover Robust Transcriptional Biomarkers.<\/em>\u00a0(AI4Health Workshop, 11th International Joint Conference on Biomedical Engineering Systems and Technologies, 2018, Funchal, Madeira-Portugal)<\/span><\/li>\n<\/ul>\n<p style=\"text-align: center\"><span style=\"color: #339966;font-size: 24pt\"><\/div><\/span><\/p>\n<hr \/>\n<p><div class=\"threecol-one\"><div class=\"wpz-sc-box normal large  \">\n<p style=\"text-align: center\"><span style=\"color: #008000\"><strong><span style=\"font-size: 24pt\">My Interests<\/span><\/strong><\/span><\/p>\n<p style=\"text-align: center\"><span style=\"color: #000000;font-size: 14pt\"><em>\"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.\"<\/em><\/span><\/p>\n<p style=\"text-align: center\"><span style=\"font-size: 12pt\"><strong><span style=\"color: #808080\">RESEARCHER I ADMIRE<\/span><\/strong><\/span><br \/>\n<span style=\"font-size: 12pt;color: #000000\"><b>Leonardo da Vinci<\/b><\/span><\/p>\n<p style=\"text-align: center\"><span style=\"font-size: 12pt\"><strong><span style=\"color: #808080\">FAVORITE RESEARCH PAPER<\/span><\/strong><\/span><br \/>\n<span class=\"wpz-sc-ilink\"><a class=\"info\" href=\"https:\/\/www.ncbi.nlm.nih.gov\/pmc\/articles\/PMC2151141\/\" >Origins of Magic<\/a><\/span><\/div> <\/div> <div class=\"threecol-one\">\n<div class=\"wpz-sc-box normal large  \">\n<p style=\"text-align: center\"><span style=\"color: #008000\"><strong><span style=\"font-size: 24pt\">Why QBS?<\/span><\/strong><\/span><\/p>\n<p style=\"text-align: center\"><span style=\"color: #000000;font-size: 14pt\"><em>\"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.\"<\/em><\/span><\/p>\n<p style=\"text-align: center\"><span style=\"font-size: 12pt\"><strong><span style=\"color: #808080\">FAVORITE QBS CLASS<\/span><\/strong><\/span><br \/>\n<span style=\"font-size: 12pt\"><b><a href=\"https:\/\/geiselmed.dartmouth.edu\/qbs\/qbs-121-foundations-of-biostatistics-ii-regression\/\" target=\"_blank\" rel=\"noopener\">QBS 121<\/a>: <span style=\"color: #000000\">Foundations of\u00a0Biostatistics II<\/span><\/b><\/span><\/p>\n<\/div>\n<\/div> <div class=\"threecol-one last\">\n<div class=\"wpz-sc-box normal large  \">\n<p style=\"text-align: center\"><span style=\"color: #008000\"><strong><span style=\"font-size: 24pt\">Life @ Dartmouth<\/span><\/strong><\/span><\/p>\n<p style=\"text-align: center\"><strong><span style=\"color: #808080;font-size: 12pt\">WHEN I AM NOT IN LAB...\u00a0<\/span><\/strong><br \/>\n<span style=\"color: #000000;font-size: 14pt\"><em>\"I'm in the woods.<\/em><em>\"<\/em><\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\" aligncenter\" src=\"https:\/\/media.giphy.com\/media\/4UTPg4M1Hpu36\/giphy.gif\" width=\"608\" height=\"243\" \/><\/p>\n<p>&nbsp;<\/p>\n<\/div><\/div><\/p>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp;<\/p>\n","protected":false},"author":146,"featured_media":0,"parent":8287,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-templates\/template-full-width.php","meta":{"footnotes":""},"class_list":["post-2880","page","type-page","status-publish","hentry","author-146"],"jetpack_shortlink":"https:\/\/wp.me\/Pbpy9s-Ks","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/geiselmed.dartmouth.edu\/qbs\/wp-json\/wp\/v2\/pages\/2880","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/geiselmed.dartmouth.edu\/qbs\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/geiselmed.dartmouth.edu\/qbs\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/geiselmed.dartmouth.edu\/qbs\/wp-json\/wp\/v2\/users\/146"}],"replies":[{"embeddable":true,"href":"https:\/\/geiselmed.dartmouth.edu\/qbs\/wp-json\/wp\/v2\/comments?post=2880"}],"version-history":[{"count":10,"href":"https:\/\/geiselmed.dartmouth.edu\/qbs\/wp-json\/wp\/v2\/pages\/2880\/revisions"}],"predecessor-version":[{"id":3867,"href":"https:\/\/geiselmed.dartmouth.edu\/qbs\/wp-json\/wp\/v2\/pages\/2880\/revisions\/3867"}],"up":[{"embeddable":true,"href":"https:\/\/geiselmed.dartmouth.edu\/qbs\/wp-json\/wp\/v2\/pages\/8287"}],"wp:attachment":[{"href":"https:\/\/geiselmed.dartmouth.edu\/qbs\/wp-json\/wp\/v2\/media?parent=2880"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}