G ul Bahar B ulb ul - Curriculum vitae

Contact

Information

G ul Bahar B ulb ul Tel: +1-773-***-****

E-mail:ad3j0i@r.postjobfree.com

Education Bowling Green State University, Bowling Green, Ohio PhD in Statistics August 2019{August 2023

Advisor: Craig L. Zirbel

PhD Dissertation in 2023: Predicting base conservation scores in RNA 3D structures Here is the link for my PhD Dissertation

CGPA:3.33/4.00

Middle East Technical University, Ankara, Turkiye

MSc in Statistics Sep. 2017{June 2019

MSc Thesis in 2019: Novel model selection criteria on high dimensional biological networks Here is the link for my MSc Thesis

CGPA:3.43/4.00

BSc in Statistics Sep. 2011 { June 2017

CGPA:3.52/4.00 (second highest ranked graduate)

Burdur Anatolian High School, Burdur, Turkiye

Math-Science Branch Sep. 2007 { June 2011

CGPA:93.55/100 (fourth highest ranked graduate)

Teaching

Experience

Teaching Assistant

Introduction to Statistics (1150), 2019-2023, Bowling Green State University, Math & Statis- tics

Publications G. B. B ulb ul, and V. Purut cuo glu(2018), Information Complexity Criterion in the Gaus- sian Graphical Model: Real Data Applications, Proceeding of the International Conference on Mathematics (ICOMATH 2018), Istanbul, Turkiye.

G. B. B ulb ul, and V. Purut cuo glu, (2018), Model selection in MARS-constructed bio- logical networks, Proceeding of the 5th International Conference on Computational and Experimental Science and Engineering (ICCESEN 2018), Antalya, Turkiye. G. B. B ulb ul,V. Purut cuo glu and E. Purut cuo glu, Novel Model Selection Criteria on Simu- lated Sparse Biological Networks, International Journal of Environmental Science and Tech- nology (JEST), 2019, Springer, doi=10.1007/s13762-019-02206-9. G. B. B ulb ul and V. Purut cuo glu, Novel model selection criteria for LMARS: MARS designed for biological networks, Journal of Statistical Computation and Simulation, 2021, Taylor and Francis, doi=10.1080/00949655.2020.1870689. Conference

Presentations

Information Complexity Criterion in the Gaussian Graphical Model: Real Data Applications, International Conference on Mathematics, July, 2018, Istanbul, Turkiye. Novel Model Selection Criteria on Simulated Sparse Biological Networks, 5th International Conference on Computational and Experimental Science and Engineering (ICCESEN), Oc- tober, 2018, Antalya, Turkiye.

A novel inference method for MARS models on sparse biological networks, International Conference on Data Science and Applications(ICONDATA), October, 2018, Yalova, Turkiye. A novel application of inference of MARS on a sparse biological network (POSTER), 5th International Conference on Computational and Experimental Science and Engineering (IC- CESEN), October, 2018, Antalya, Turkiye.

LMARS models under STARS model selection criterion in the selection of Biological Net- works, AMMCS 2019, August, 2019, Istanbul, Turkiye. Model Selection Criteria for Biological Networks by Using Loop-based Multivariate Regres- sion Adaptive Splines Model, JSM 2020, August, 2020, Philadelphia, Pennsylvania, USA. Novel Directed Laplacian Graph Approach by Entropy-based criterion in the Selection of Gene Clusters, JSM 2021, August, 2021, Online.

Academic

Interests Deep Learning

Machine Learning

RNA modeling

High dimensional inference

Omics data analyses

Important

Courses Taken

DNA and Protein Analysis, Stochastic Processes, Bayesian Analysis, Nonparametric meth- ods, Economics, Insurance, Biostatistical Methods, Statistical Learning, Time Series Analy- sis, Panel Data Analysis, GLM, Topological Data Analysis, Stochastic Di erential Equations, ASA machine learning courses, Discrete Choice Modeling Projects 2023

PCA analysis over LM on PAM50 subtypes of BRCA with Python 2022

Comparison of di erent neural network models on bagging imputed \airquality dataset" in R for regression purposes

2022

Comparison of di erent neural network models on Skin Cancer MNIST dataset in R for classi cation purposes

2022

Analyzing Esoph Case-Control data in R and SAS: Classi cation tree vs. Logistic model 2021

An Application of Topological Data Analysis: Persistence Images and its applications in R An Example of Slow Convergence of the Bootstrap in High Dimensions Semi-supervised Spectral Clustering approach with ICOMP on high dimensional biological networks

2020

Comparison between Supervised and Unsupervised Regularized Fitting Methods: Applica- tion on Wine Data

2020

Survey on social impact of Coronavirus

2019

Developing an applet with JAVA

2018

HLA-A Gene Analysis: Homology Detection, Variants, Protein Families by using Protein Data Bank, BLAST tools

2018

A Bootstraping application: Constructing Con dence Intervals for a Phylogenetic Tree with R

2018

Metropolis within Gibbs Application in Gene Mapping and Image Modeling 2017

Calculation of Percentage Points of Pearson curves expressed in standard measure 2016

Time Series Analysis of \The Advance Monthly Retail Trade Survey (MARTS)" 2015

Survey: \How Does Joining a Club A ect the Students GPA?" with R 2014

Analysis of \Pollution Haven Hypothesis, Foreign Direct Investment and Public Policy" with MATLAB

Programming

Skills

Advanced: R, Python, Latex

MatLab, SQL, C, Java, HTML5, XML, CSS, PhP, JavaScript, Bootstrap, UNIX, Minitab, Ggobi, EXCEL

Hands on experience on:

software for bioinformatics: NCBI (BLAST), PDB, UCSC (BLAT), ebi (FASTA) software for geospatial analysis: Esri, ArcGIS Pro neural network packages in R & Python: Keras/Tf-PyTorch Languages Turkish (Native speaker), English (Fluent), French (Beginner), German (Beginner) Professional

Affiliations

American Statistical Association (since 2019)

BGSU RNA research group (since 2021)

References Craig L. Zirbel Junfeng Shang

Professor Professor

Bowling Green State University Bowling Green State University e-mail: ad3j0i@r.postjobfree.com e-mail: ad3j0i@r.postjobfree.com

John Tuhao Chen

Professor

Bowling Green State University

e-mail: ad3j0i@r.postjobfree.com

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