CV

Education

B.S. in Statistics, Cukurova University
B.S. in Mathematics, Cukurova University
M.S. in Statistics, University of Cincinnati
Ph.D in Statistics, University of Cincinnati

Work experience

Lecturer at Department of Mathematical Sciences, University of Cincinnati – Cincinnati, OH, USA (Winter Quarter, 2012)
Teaching Assistant at Department of Business Analytics, University of Cincinnati – Cincinnati, OH, USA (2015)
Teaching Assistant at Department of Mathematical Sciences, University of Cincinnati – Cincinnati, USA (Aug., 2016-Aug., 2017)
Internship at Cincinnati Children’s Hospital, Division of Biostatistics and Epidemiology, Cincinnati, USA (Aug., 2017- Sep., 2018)

Technical Skills

SAS (Fluent); R (Fluent); MATLAB (Fluent); MaxQuant (Fluent); JMP (Fluent); MINITAB (Good); EXCEL (Fluent); SPSS (Fluent); Win Bugs (Good); Maple (Fluent); SQL (Good).

Publications

Characterizing Socioeconomic Depreciation, Climate and High Traffic Pollution Improves Prediction of Lung-Function Trajectories

Szczesniak, R. D., Brokamp, C., Ryan, P., Ni, Y., Andrinopoulou, E., Keogh, R. H., Gecili, E., Huang, R., Pestian, T., Clancy, J. P. (2019). " Characterizing Socioeconomic Depreciation, Climate and High Traffic Pollution Improves Prediction of Lung-Function Trajectories." Pediatric Pulmonology Vol. 54 (pp. S233-S234).

Biomarkers Discovered by Unbiased Serum Proteomics Correlate with Cross-sectional and Longitudinal FEV1

Szczesniak, R. D., Heltshe, S., Lin, S., Khan, U., Baines, A., Gecili, E., Su, W., Clancy, J.P., Ziady, A. G. (2019). " Biomarkers Discovered by Unbiased Serum Proteomics Correlate with Cross-sectional and Longitudinal FEV1." Pediatric Pulmonology Vol. 54 (pp. S339).

Body Composition of Patients with CF at the Time of Pulmonary Exacerbation

Boat T, Hente E, Wang S, Taylor J, Summers S, Szczesniak RD, Gecili, E, Mun K, Naren A. (2019). " Body Composition of Patients with CF at the Time of Pulmonary Exacerbation." Pediatric Pulmonology Vol. 54 (pp. S254-S254).

Biomarker Discovery by Bayesian Lasso for Prediction of Rapid CF Lung Disease Progression

Gecili, E., Szczesniak, R. D., & Ziady, A. G. (2019). " Biomarker Discovery by Bayesian Lasso for Prediction of Rapid CF Lung Disease Progression." Pediatric Pulmonology Vol. 54 (pp. S333- S334).

Feedback at the Point of Care to Decrease Medication Alert Rates in an Electronic Health Record

Camp PJ, Kirkendall ES, Hagedorn P, Minich T, Kouril M, Spooner SA, Gecili E, Dexheimer JW. (2019). " Feedback at the Point of Care to Decrease Medication Alert Rates in an Electronic Health Record." Pediatric emergency care 36(7):e417-e422.

Cystic Fibrosis Point of Personalized Detection (CFPOPD): An Interactive Web Application

Wolfe C, Pestian T, Gecili E, Su W, Keogh RH, Pestian JP, Seid M, Diggle PJ, Ziady A, Clancy JP, Grossoehme DH, Szczesniak RD, Brokamp C. (2020). "Cystic Fibrosis Point of Personalized Detection (CFPOPD): An Interactive Web Application." JMIR Med Inform 2020;8(12):e23530.

Functional Data Analysis and Prediction Tools for Continuous Glucose Monitoring Studies

Gecili E, Huang R, Khoury J, King E, Altaye M, Bowers K, Szczesniak R. (2020). " Functional Data Analysis and Prediction Tools for Continuous Glucose Monitoring Studies." Journal of Clinical and Translational Science 1-34.

Influences of environmental exposures on individuals living with cystic fibrosis

Szczesniak RD, Rice JL, Brokamp C, Ryan P, Pestian T, Ni Y, Andrinopoulou ER, Keogh RH, Gecili E, Huang R, Clancy JP, Collaco JM. (2020). " Influences of environmental exposures on individuals living with cystic fibrosis." Expert Review of Respiratory Medicine 14 (7), 737-748.

Forecasting COVID-19 confirmed cases, deaths and recoveries: Revisiting established time series modeling through novel applications for the USA and Italy

Gecili E, Ziady A, Szczesniak RD. (2021). " Forecasting COVID-19 confirmed cases, deaths and recoveries: Revisiting established time series modeling through novel applications for the USA and Italy." PLOS ONE. 16(1): e0244173.

Seasonality, mediation and comparison (SMAC) methods to identify influences on lung function decline

Gecili E, Palipana A, Brokamp C, Huang R, Andrinopoulou E-R, Pestian T, Rasnick E, Keogh RH, Ni Y, Clancy JP, Ryan P, Szczesniak RD. (2021). " Seasonality, mediation and comparison (SMAC) methods to identify influences on lung function decline." MethodsX 2021,101313, ISSN 2215-0161.

Seasonal variation of lung function in cystic fibrosis: longitudinal modeling to compare a Midwest US cohort to international populations

Gecili E, Brokamp C, Palipana A, Huang R, Andrinopoulou E-R, Pestian T, Rasnick E, Keogh RH, Ni Y, Clancy JP, Ryan P, Szczesniak RD. (2021). "Seasonal variation of lung function in cystic fibrosis: longitudinal modeling to compare a Midwest US cohort to international populations." STOTEN 776- 145905.

An empirical comparison of segmented and stochastic linear mixed effects models to estimate rapid disease progression in longitudinal biomarker studies

Su W, Gecili E, Wang X, Szczesniak RD. (2021). "An empirical comparison of segmented and stochastic linear mixed effects models to estimate rapid disease progression in longitudinal biomarker studies." Statistics in Biopharmaceutical Research.

Rapid cystic fibrosis lung-function decline and in- vitro CFTR modulation

Gecili E, Su W, Brokamp C, Andrinopolou E-R, Ziady A, LaRosa FJ, Pestian T, Clancy JP, Solomon GM, Brewington JJ, Szczesniak RD. (2021). " Rapid cystic fibrosis lung-function decline and in- vitro CFTR modulation." Journal of Cystic FibrosisVol 191, 2022: 106687.

Optimization of methods for interrogating large proteomic data sets for disease progression prediction in CF

Gecili E, Cheng Y, Siefert M, Skala E, Ziady A, Szczesniak RD.(2021). " Body Composition of Patients with CF at the Time of Pulmonary Exacerbation." Journal of Cystic Fibrosis 20 (2021): S268.

Monitoring and Phenotyping Rapid Cystic Fibrosis Disease Progression using Community Characteristics and Environmental Exposures

Palipana A, Gecili E, Brokamp C, Rasnick E, Vancil A, Ehrlich D, Pestian T, Andrinopoulou ER, Alfonso PM, Keogh R, Ni Y, Ryan P, Clancy JP, Szczesniak RD. (2021). " Monitoring and Phenotyping Rapid Cystic Fibrosis Disease Progression using Community Characteristics and Environmental Exposures." Journal of Cystic Fibrosis 20 (2021): S22.

Secular drift in predictive accuracy of pulmonary exacerbations: a registry study

Wang Z, Zhou GC, Palipana A, Gecili E, Clancy JP, Szczesniak RD.(2021). " Secular drift in predictive accuracy of pulmonary exacerbations: a registry study ." Journal of Cystic Fibrosis 20 (2021): S29.

Separating wheat from chaff: hypercubes to identify proteins predictive of rapid cystic fibrosis lung disease progression

Cheng Y, Ziady A, Siefert M, Skala E, Szczesniak RD, Gecili E. (2021). " Separating wheat from chaff: hypercubes to identify proteins predictive of rapid cystic fibrosis lung disease progression." Journal of Cystic Fibrosis 20 (2021): S85 – S86.

Predicting declines in lung function with the US CF registry: impact of initiating highly effective modulator therapy

Zhou GC, Wang Z, Palipana A, Andrinopoulou ER, Afonso PM, McPhail GL, Clancy JP, Gecili E, Szczesniak RD. (2021). " Predicting declines in lung function with the US CF registry: impact of initiating highly effective modulator therapy." Journal of Cystic Fibrosis 20 (2021): S17 – S18.

Serum biomarkers identified by proteomics and measured by commercially available assays associate with lung function during clinically stable states

Szczesniak RD, Heltshe S, Siefert M, Gecili E, Clancy JP, Sagel S, Ziady A. (2021). " Serum biomarkers identified by proteomics and measured by commercially available assays associate with lung function during clinically stable states." Journal of Cystic Fibrosis 20 (2021): S274 – S276.

Sweat metabolomics profiling of cystic fibrosis pulmonary exacerbations

Woodley F, Gecili E, Szczesniak R, Shrestha C, Nemastil C, Kopp B, Hayes D. (2021). " Sweat metabolomics profiling of cystic fibrosis pulmonary exacerbations." Journal of Cystic Fibrosis 20 (2021): S83.

Bayesian regularization for a non-stationary Gaussian linear mixed effects models

Gecili E, Sivaganesan S, Asar Ö, Clancy JP, Ziady A, Szczesniak RD. (2022). "Paper Title Number 2." Statistics in Medicine. 2022; 41 (4): 681– 697.

Sweat metabolomics before and after intravenous antibiotics for pulmonary exacerbation in people with cystic fibrosis.

Woodley FW, Gecili E, Szczesniak RD, Shrestha CL, Nemastil CJ, Kopp BT, Hayes D. (2022). "Sweat metabolomics before and after intravenous antibiotics for pulmonary exacerbation in people with cystic fibrosis." Respiratory MedicineVol 191, 2022: 106687.

Tissue-localized immune responses in people with cystic fibrosis and respiratory nontuberculous mycobacteria infection

Hayes D, Shukla R, Cheng Y, Gecili E, Merling M, Szczesniak RD, Ziady A, Woods J, Hall-Stoodley L, Liyanage N, Robinson R. (2022). "Tissue-localized immune responses in people with cystic fibrosis and respiratory nontuberculous mycobacteria infection." Journal of Clinical Investigation Insight. 2022;7(12):e157865

Body composition and functional correlates of CF youth experiencing pulmonary exacerbation and recovery

Boat T, Hente E, Hardie W, Szczesniak RD, Gecili, E, Zhou G, Taylor J, Amin R. (2022). " Body composition and functional correlates of CF youth experiencing pulmonary exacerbation and recovery. " Pediatric Pulmonology 2022: 26207.

Predicting Individualized Lung Disease Progression in Treatment Naïve Patients with Lymphangioleiomyomatosis

Palipana A, Gecili E, Song S, Johnson S, Szczesniak RD, Gupta N. (2023). " Predicting Individualized Lung Disease Progression in Treatment Naïve Patients with Lymphangioleiomyomatosis." Chest 2023: ISSN 0012-3692, https://doi.org/10.1016/j.chest.2022.12.027.

Built environment factors predictive of early rapid lung function decline in cystic fibrosis

Gecili E, Brokamp C, Rasnick E, Afonso PM, Andrinopoulou ER, Dexheimer JW, Clancy JP, Keogh RH, Ni Y, Palipana A, Pestian T, Vancil A, Zhou GC, Su W, Siracusa C, Ryan P, Szczesniak RD. (2023). " Built environment factors predictive of early rapid lung function decline in cystic fibrosis." Pediatric Pulmonology 2023: ISSN 0012-3692, https://doi.org/10.1002/ppul.26352

Automated Identification of Transgender and Gender Non-conforming patients from Electronic Health Record Data

Su EC, Dexheimer JW, Kronk CA, Snedecor R, Popler E, Thomas A, Szczesniak RD, Gecili E, Conard L. (2023). " Automated Identification of Transgender and Gender Non-conforming patients from Electronic Health Record Data." Journal of Adolescent Health ISSN 1054-139X, https://doi.org/10.1016/j.jadohealth.2022.11.136.

Lung Function Decline in Cystic Fibrosis: Impact of Data Availability and Modeling Strategies on Clinical Interpretations

Szczesniak R, Andrinopoulou ER, Su W, Afonso PM, Burgel PR, Cromwell E, Gecili E, Ghulam E, Goss CH, Mayer-Hamblett N, Keogh RH, Liou TG, Marshall B, Morgan WJ, Ostrenga JS, Pasta DJ, Stanojevic S, Wainwright C, Zhou GC, Fernandez G, Fink AK, Schechter MS. (2023). " Lung Function Decline in Cystic Fibrosis: Impact of Data Availability and Modeling Strategies on Clinical Interpretations." Annals of the American Thoracic Society 2023 Mar 8. doi: 10.1513/AnnalsATS.202209-829OC. Epub ahead of print. PMID: 36884219.

A default Bayesian multiple comparison of two binomial proportions

Gecili E, Sivaganesan S. (2023). " A default Bayesian multiple comparison of two binomial proportions." Statistics and Its Interface Vol. 16, No. 4 (2023), pp. 517-529. https://dx.doi.org/10.4310/22-SII740

Lung function and secondhand smoke exposure among children with cystic fibrosis: A Bayesian meta-analysis

Reifenberg J, Gecili E, Pestian T, Andrinopoulou ER, Ryan PH, Brokamp C, Collaco JM, Szczesniak RD. (2023). " Lung function and secondhand smoke exposure among children with cystic fibrosis: A Bayesian meta-analysis." Journal of Cystic Fibrosis ISSN 1569-1993. https://doi.org/10.1016/j.jcf.2023.04.020

Hypercubes to identify key environmental exposures predictive of rapid cystic fibrosis lung disease progression

Cheng Y, Gecili E, Brokamp C, Rasnick E, Ryan P, Szczesniak R. (2023). " Hypercubes to identify key environmental exposures predictive of rapid cystic fibrosis lung disease progression.." Journal of Cystic Fibrosis. 2023 Oct 1;22:S334

Environmental exposures and spatiotemporal effects that characterize rapid lung function decline in a Midwest US cystic fibrosis cohort.

Gecili E, Brokamp C, Asar O, Andrinopoulou E, Brewington J, Ryan P, Szczesniak R. (2023). " Environmental exposures and spatiotemporal effects that characterize rapid lung function decline in a Midwest US cystic fibrosis cohort.." Journal of Cystic Fibrosis. 2023 Oct 1;22:S330

Social-Environmental Phenotypes of Rapid Cystic Fibrosis Lung Disease Progression in Adolescents and Young Adults Living in the United States.

Palipana A, Vancil A, Gecili E, Rasnick E, Ehrlich D, Pestian T, Andrinopoulou ER, Afonso PM, Keogh RH, Ni Y, Dexheimer JW, Clancy JP, Ryan P, Brokamp C, Szczesniak RD. (2023). " Social-Environmental Phenotypes of Rapid Cystic Fibrosis Lung Disease Progression in Adolescents and Young Adults Living in the United States." Environmental Advances. 2023 100449, ISSN 2666-7657, https://doi.org/10.1016/j.envadv.2023.100449.

Predicting lung function decline in cystic fibrosis: the impact of initiating ivacaftor therapy.

Zhou GC, Wang Z, Palipana A, Andrinopoulou ER, Afonso PM, McPhail GL, Siracusa CM, Gecili E, Szczesniak RD. (2024). " Predicting lung function decline in cystic fibrosis: the impact of initiating ivacaftor therapy. " Respiratory Research. 2024 25, 187, https://doi.org/10.1186/s12931-024-02794-2.

Evaluating precision medicine tools in cystic fibrosis for racial and ethnic fairness.

Colegate SP, Palipana A, Gecili E, Brokamp C, Szczesniak RD. (2024). " Evaluating precision medicine tools in cystic fibrosis for racial and ethnic fairness." Journal of Clinical and Translational Science. 2024 8(1):e94. doi:10.1017/cts.2024.532.

Robust identification of environmental exposures and community characteristics predictive of rapid lung disease progression.

Peterson CJ, Rao MB, Palipana A, Manning ER, Vancil A, Ryan P, Brokamp C, Kramer E, Szczesniak RD, Gecili E. (2024). " Robust identification of environmental exposures and community characteristics predictive of rapid lung disease progression." Science of The Total Environment. 2024 Nov 10;950:175348. doi:10.1017/cts.2024.532.

PREDICTING RISK OF EMPLOYEE INJURY IN A PEDIATRIC HOSPITAL.

Gecili E, Daraiseh N, Brokamp C, Macaluso M. (2024). " PREDICTING RISK OF EMPLOYEE INJURY IN A PEDIATRIC HOSPITAL." Annals of Epidemiology. 2024 Volume 97, P 107. https://doi.org/10.1016/j.annepidem.2024.06.014.

HYPER-LOCALIZATION AND PREDICTIVE MODELING OF RAPID CYSTIC FIBROSIS DISEASE PROGRESSION.

Gecili E, Brokamp C, Andrinopoulou ER, Ryan P, Brewington J, Szczesniak RD. (2024). " HYPER-LOCALIZATION AND PREDICTIVE MODELING OF RAPID CYSTIC FIBROSIS DISEASE PROGRESSION." Annals of Epidemiology. 2024 Volume 97, P 76. https://doi.org/10.1016/j.annepidem.2024.05.014.

Secular and modulator-specific drifts in the predictive performance of a rapid lung function decline algorithm: a cystic fibrosis patient registry study.

Wang Z, Zhou G, Palipana A, Gecili E, Dexheimer JW, Siracusa C, Szczesniak RD. (2024). " Secular and modulator-specific drifts in the predictive performance of a rapid lung function decline algorithm: a cystic fibrosis patient registry study." Discover Data. 2024, 2:10. https://doi.org/10.1007/s44248-024-00014-2.

Spike and Slab Regression for Nonstationary Gaussian Linear Mixed Effects Modeling of Rapid Disease Progression.

Gecili E, Brokamp C, Asar Ö, Andrinopoulou ER, Brewington JJ, Szczesniak RD. (2024). " Spike and Slab Regression for Nonstationary Gaussian Linear Mixed Effects Modeling of Rapid Disease Progression." Discover Data. 2024, 2:10. https://doi.org/10.1002/env.2884.

Understanding and Predicting Rapid Disease Progression in the Presence of Sparse Effects-a Case Study with Cystic Fibrosis Lung Function and Proteomics Data

March 08, 2019

Paper at Eastern North American Region (ENAR) 2019 Spring Meeting, Philadelphia, PA

Bayesian Lasso for a non-stationary Gaussian linear mixed effects model

June 18, 2019

Paper at Joint Statistical Meetings 2019 , Denver, CO

Biomarker Discovery by Bayesian Penalized Regressions for Prediction of Rapid Cystic Fibrosis (CF) Lung Disease Progression

October 18, 2019

Poster at North American Cystic Fibrosis Conference (NACFC) 2019, Nashville, TN

Environmental exposures and spatiotemporal effects that characterize rapid lung function decline in a Midwest US cystic fibrosis cohort

November 03, 2023

Talk at North American Cystic Fibrosis Conference (NACFC) 2023, Phoenix, Arizona

Environmental exposures and spatiotemporal effects that characterize rapid lung function decline in a Midwest US cystic fibrosis cohort

November 10, 2023

Talk at Division of Pulmonary Medicine, CCHMC, Cincinnati, Ohio

Research Interests

Bayesian penalized regression models for biomarker selection in omics
Development and validation of biostatistical models incorporating biomarker data aimed at outcomes prediction
Proteomic Data Analysis
Statistical modelling for longitudinal lung function data for cystic fibrosis (CF), bronchiolitis obliterans syndrome (BOS), and lymphangioleiomyomatosis (LAM) lung diseases
Bayesian Multiplicity Adjustment to the Multiple Testing Problem
Bayesian Multiple Testing for Discrete and Dependent Data
QTL mapping and Gene expression analysis

Select Additional Training

Multi-omics Modelling of Biochemical Pathways (July 12-16, 2021), The Environmental Molecular Sciences Laboratory (EMSL) Summer School 2021 (Online) (One of the 25 awarded attendants)
Big Data, Data Science and Deep Learning for Statistician (March 2019), ENAR 2019 Spring Meetings, Philadelphia, PA
Gene Expression Profiling (July 8-10, 2015), 20th Summer Institute in statistical Genetics, University of Washington, Seattle, WA
QTL Mapping (July 15-17, 2015), 20th Summer Institute in statistical Genetics, University of Washington, Seattle, WA
Bayesian Statistics for Genetics (July 22-24, 2015), 20th Summer Institute in statistical Genetics, University of Washington, Seattle, WA

Manuscript Reviews

PLOS One (1/year as reviewer) (2020-)
Statistics and Its Interface (1/year as reviewer) (2020-)
Germs (1/year as reviewer) (2021-)
Frontiers (1/year as reviewer) (2022-)
Thorax (18/ year as statistical editor) (2022-)

Editorial Service: Role / Journal

Academic Editor, PLOS One (2022-)
Deputy Statistics Editor, Thorax (2022-)

Professional Memberships

Member, American Mathematical Society (2012-2018)
University of Cincinnati Chapter Officer, American Statistical Association (2013-2014)
Member, American Statistical Association (2013- )
Member, International Society of Bayesian Analysis (2017- )

Emrah Gecili

CV