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Data Executive

Location:
Brookline, Massachusetts, United States
Posted:
November 13, 2017

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Cenk Yildirim

Boston, MA ***** (ph) 617.***.**** (e) ac3aqs@r.postjobfree.com

SUMMARY

• Biostatistics

• Statistical Analysis Plans, Statistical Reporting, Tables, Figures

• Multidisciplinary Research Teams

• Exploratory Analysis, Data Science

• Observational and Longitudinal Studies,

Epidemiologic Methods

• Statistical Programming Expert / SAS

• SOP Compliant Analysis and Research

• Strong Analytics and Modeling Background

• Data Management, Cleaning and Wrangling

• Manuscript Writing

EDUCATION

Harvard University Cambridge, MA

M.S. and Post M.S. Biostatistics – Harvard T.H. Chan School of Public Health Rensselaer Polytechnic Institute Troy, NY

M. Eng. Operations Research / Decision Science and Engineering Systems Bogazici University Istanbul, Turkey

B.S. Mathematics

EXPERIENCE

Harvard University-Center for Biostatistics in Aids Research Boston, MA Statistical Programmer and Biostatistician – (2008-Present) Initiate, prioritize, design and deliver research specific biostatistics and statistical programming solutions for observational and clinical trials in HIV/Aids research. Provide Standard Operating Procedures (SOP) compliant statistical programming for analysis dataset creation, statistical reporting (tables and figures) with detailed attention to reproducibility of scientific findings. Contributed multidisciplinary research teams such as presenting and explaining results, authoring and participating manuscript writing, and designing Case Report Forms

(CRFs).

Memory Study and ARV adherence – (2010-2017)

Authored manuscript on ARV adherence. Conducted exploratory analysis, designed statistical methods for the study. Proposed and validated novel adherence measures using pharmacy refill records. Designed and produced statistical tables and figures for the manuscript. Applied logistic regression to explore utility of pharmacy refill adherence predicting HIV disease markers. Paper is submitted for review.

Organized monthly conference calls and prepared statistical reports to monitor study enrollment, participant characteristics, data quality and consistency.

Maternal Exposures and Long Term Outcomes (Ongoing)

Responsible for creating and maintaining analysis datasets for ongoing SMARTT (Surveillance Monitoring for ART Toxicities) cohort projects for infants and pre-adolescents who were born to HIV infected mothers. Designed algorithms to identify adverse cases for domains of childhood development.

Domain expert for infant growth metrics and anthropometric data. Expertise included providing scientifically sound height and weight z-score calculation for premature born infants. Prepared anthropometric and neuropsychological data query listings for participating clinics to minimize data inaccuracies, misclassification and bias using scientifically consistent and cost-effective approaches.

Identified and presented bias for identifying low head circumference methodology for different developmental stages used by the study. Proposed longitudinally consistent alternative methodology to determine cases for neurologic development.

Maintained and updated very complex programs for ARV medication exposure for HIV infected mothers during pregnancy. Duties included identifying inconsistent start and stop dates for ARV regimens. Birth Defects (2009 – 2014)

Participated multidisciplinary study team in study of birth defects. Created analysis datasets utilizing diagnosis provided by participating clinics. Generated reports for researchers to review diagnosis and relevant secondary data to identify congenital anomalies. Generated programs to list potential cases of congenital anomalies.

Miscellaneous

Programmed and validated statistical programs to generate analysis datasets for primary and secondary outcomes for the randomized study of the treatment strategies for HIV associated Kaposi Sarcoma funded by National Cancer Institute.

Provided helpdesk support for SAS programming questions.

Oversee and maintain UNIX based monthly data download process for ongoing epidemiologic cohort studies.

Data Science: Currently working on an exploratory analysis to identify seasonal patterns for increased HIV RNA count utilizing rich longitudinal databases. Utilizing graphical methods to present the concept to clinicians and HIV care providers. Designing analysis plan to identify climatic factors affecting viral load increase though longitudinal as well as non-parametric regression methods. Classification and principal components methods will be employed to understand synergy between environmental, climatic and seasonal infections for HIV disease severity.

New York Independent System Operator Troy, NY

Statistical Electricity Load Demand Forecast Analyst – (2005 – 2008)

Developed and maintained statistical forecasting models for New York electricity market.

Employed time series and econometric modelling to predict seasonal peak electricity demand, annual total energy for next ten years for strategic decision making

Maintained neural network based models predicting nonlinear electricity demand curve to predict next-day hourly electricity demand.

Utilized SAS to research factors predicting demand curves. Presented results in cross-functional working groups to show our models are bias free and fair for utility companies operating in NY State . Center for Transportation Research, University of Texas Austin, TX Research Associate (2002 – 2004)

Analyzed lab test and field data to investigate performance of materials to improve life cycle for asphalt pavements.

Motorola Semiconductor Products Sector (SPS) Austin, TX Simulation Engineer - Research Intern (2001 – 2002) Developed stochastic simulation model to emulate semiconductor-manufacturing operations. Designed simulation experiments to investigate the impact of production scenarios on factory utilization and production time. Projects also involved modeling work force management scenarios to minimize cost and maximize productivity.

PUBLICATIONS

Submitted Paper

• “The Role of Pharmacy refill measures in assessing adherence and predicting HIV disease markers in youth with perinatally-acquired HIV (PHIV)” Yildirim C, Garvie PA, Chernoff MC, Wilkins ML, Williams PL, Patton DE, Nichols SL Aids and Behavior

Co-Authored Papers

• “Antiretroviral exposure during pregnancy and adverse outcomes in HIV-exposed uninfected infants and children using a trigger-based design.” Williams PL, Hazra R, Van Dyke RB, Yildirim C, Crain MJ, Seage GR 3rd, Civitello L, Ellis A, Butler L, Rich K. AIDS (London, England). 2016; 30(1):133-44. NIHMSID: NIHMS728616

• “Congenital anomalies and in utero antiretroviral exposure in human immunodeficiency virus-exposed uninfected infants” Williams PL, Crain MJ, Yildirim C, Hazra R, Van Dyke RB, Rich K, Read JS, Stuard E, Rathore M, Mendez HA, Watts DH. JAMA pediatrics. 2015; 169(1):48-55. NIHMSID: NIHMS630123

• “A trigger-based design for evaluating the safety of in utero antiretroviral exposure in uninfected children of human immunodeficiency virus-infected mothers” Williams PL, Seage GR 3rd, Van Dyke RB, Siberry GK, Griner R, Tassiopoulos K, Yildirim C, Read JS, Huo Y, Hazra R, Jacobson DL, Mofenson LM, Rich K. American journal of epidemiology. 2012; 175(9):950-61. Co-Authored Papers

• “Executive Functioning in Children and Adolescents With Perinatal HIV Infection and Perinatal HIV Exposure” Nichols SL, Chernoff MC, Malee KM, Sirois PA, Woods SP, Williams PL, Yildirim C, Delis D, Kammerer B.

Pediatric Infect Dis Soc. 2016 Dec; 5(suppl 1):S15-S23. PMID: 27856672.

• “Associations of Memory and Executive Functioning With Academic and Adaptive Functioning Among Youth With Perinatal HIV Exposure and/or Infection” Sirois PA, Chernoff MC, Malee KM, Garvie PA, Harris LL, Williams PL, Woods SP, Nozyce ML, Kammerer BL, Yildirim C, Nichols SL J Pediatric Infect Dis Soc. 2016 Dec; 5(suppl 1):S24-S32. PMID: 27856673.

• “Impact of Perinatally Acquired HIV Disease on Longitudinal Changes in Memory and Executive Functioning” Malee KM, Chernoff MC, Williams PL, Garvie PA, Kammerer BL, Harris LL, Nozyce ML, Yildirim C, Nichols SL, of Journal Acquired Immune Deficiency Syndromes. 2017 Aug; 75(4): 455-464

• “Prospective Memory in Youth with Perinatally-acquired HIV Infection” Harris LL, Chernoff MC, Nichols SL, Williams PL, Garvie PA, Yildirim C, McCauley SR, Woods PW, Child Neuropsychol. Aug 7:1-21 Poster Presentations

• “Congenital anomalies and in utero antiretroviral exposure in HIV-exposed uninfected children” Williams P, Yildirim C, Crain M, Hazra R, Van Dyke R, Rich K, Read J, Stuard E, Rathore M, and Watts D for the Pediatric HIV/AIDS Cohort Study21st Conference on Retroviruses and Opportunistic Infections (CROI 2014), March 3-6, 2014, Boston, MA (Poster, Abstract 863LB)

• “Assessment of adverse outcomes in HIV-exposed uninfected infants and children with antiretroviral exposure during pregnancy using a trigger-based design: Results from the Surveillance Monitoring of ART Toxicities (SMARTT) study” Williams PL, Hazra R, Van Dyke RB, Yildirim C, Crain MJ, Seage GR III, and Rich K for the Pediatric HIV/AIDS Cohort Study.19th International Workshop on HIV Observational Databases, Catania, Sicily, March 26-28, 2015 (Abstract 0022; Oral presentation)

• “Executive and memory functioning and medication adherence among youth with perinatally acquired HIV” Nichols SL, Chernoff MC, Woods SP, Yildirim C, Malee KM, Wilkins JL, Williams PL, and Garvie PA, for the Memory Substudy of the Pediatric HIV/AIDS Cohort Study. International Association of Providers of AIDS Care, June 2015, Miami, FL (Poster, Abstract 134).

• Presented “The role of pharmacy refill measures in assessing adherence and predicting disease measures in youth with perinatally acquired HIV (PHIV). Yildirim C, Garvie PA, Chernoff MC, Wilkins ML, Patton ED, Williams PL, and Nichols SL for the Memory Substudy of the Pediatric HIV/AIDS Cohort Study. International Association of Providers of AIDS Care, June 2015, Miami, FL (Poster, Abstract 134). SKILLS: SAS, Macro programming, R, Longitudinal Analysis, Database Management, Mentoring new workforce for SAS programming.



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