Data Analyst Healthcare Economics

Loren Wagner

PERSONAL DETAILS

Address **** * ******** **.

Glendale, Wisconsin, 53217

Mobile 414-***-****

E-Mail *****.******@******.***

E-Mail *****.******@*********.***

ACADEMIC QUALIFICATIONS

Ph.D. Economics 2013-2022

University of Wisconsin - Milwaukee

Supervisors: Professor Scott Adams

Thesis Title: Essays in Bayesian Econometrics

B.A. Philosophy, Classical Languages 2003-2007

Marquette University, Milwaukee

PROFESSIONAL EXPERIENCE

Biostatistician 2 Tempus AI, Illinois

Supervisor: Seung Wonhyun

2023-present

Biostatistician Mpirik, Wisconsin

Supervisor: Chris Rogers

2018-2023

TEACHING

Instructor of Practice Marquette University, Milwaukee, WI Introduction to Business Analytics

2017-present

Instructor University of Wisconsin - Whitewater

Business Statistics

2017

Instructor University of Wisconsin - Oshkosh

Business Statistics

2015

Graduate Student Teacher University of Wisconsin - Milwaukee Economic Statistics

Introduction to Microeconomics

2012-2017

Journal Articles

[1] Kris Kumar, Timothy Byrne, Timothy F. Simpson, Ashraf Samhan, Raj Shah, Jorge Rodriguez, Loren Wagner, Scott M. Chadderdon, Howard K. Song, Harsh Golwala, and Firas E. Zahr.

“Clinical Predictors of Mortality and Heart Failure Hospitalization in Patients with Severe Tricuspid Regurgitation”. In: Structural Heart in press (2022).

[2] D. O’Hair, H. Gada, M. Sotelo, Wagner, L., C. Feind, L. Brigman, C. Rogers, and N. Kohli.

“Enhanced Detection of Heart Valve Disease Using Integrated Artificial Intelligence at Scale”. In: The Annals of Thoracic Surgery in press (2021).

[3] T. Simpson, K. Kumar, A. Samhan, O. Khan, K. Khan, K. Strehler, S. Fishbein, Wagner, L., M. Sotelo, S. Chadderdon, H. Golwala, and F. Zahr. “Clinical Predictors of Mortality in Patients with Moderate to Severe Mitral Regurgitation”. In: The American Journal of Medicine (2021). Conference Presentations

[1] Efstathia Andrikopoulou, Oscar J Booker, Chris Rogers, Miguel Sotelo, Loren Wagner, Navjot Kohli, and Logan Brigman. “Using Artifical Intelligence to Transform Delivery of Cardiovas- cular Care: A single Center Experience”. In: Journal of the American College of Cardiology 79.9 Supplement (2022), pp. 1708–1708.

[2] Alex D’Amico, Graham Husband, Bobby Brouner, John Murphy, John E Scheinuk, Isha Dabke, Emily C Knowling, Kara F Morton, Loren Wagner, Miguel Sotelo, Chris Rogers, and Efstathia Andrikopoulou. “Clinical and Echocardiographic Predictors of Progression from Moderate to Severe Aortic Stenosis: A Single Center Experience”. In: Journal of the American College of Cardiology 81.8, Supplement (2023). ACC 23, p. 2010.

[3] Hemal Gada, Amit Vora, Daniel O’Hair, Cara Brigman, Loren Wagner, Chris Rogers, Logan Brigman, and Navjot Kohli. “Comparison of Patient and Clinical Factors Within Echocardiogram Reports to Predict Disparity in Care of Patients With Severe Aortic Stenosis”. In: Journal of the American College of Cardiology 74.13, Supplement (2019), B729.

[4] Hemal Gada, Amit Vora, Basel Ramlawi, Daniel O’Hair, Miguel Sotelo, Chris Rogers, Loren Wagner, Logan Brigman, and Navjot Kohli. “Clinical and Echocardiagraphic Predictors of Aortic Stenosis Disease Progression and Clinical Outcomes in Patients with Moderate Aortic Stenosis”. In: Journal of the American College of Cardiology 75.11, Supplement 1 (2020), p. 1482.

[5] Hemal Gada, Amit Vora, Basel Ramlawi, Miguel Sotelo, Loren Wagner, Chris Rogers, Logan Brigman, Daniel O’Hair, and Kohli Navjot. “Increased Risk of Clinical Outcomes in Moderate Aortic Stenosis Patients”. In: Journal of the American College of Cardiology 77.18 Supplement 1

(2021), pp. 971–971.

[6] Maria Gabriela Gastanadui, Harish Ravipati, Miguel Sotelo, Chris Rogers, Loren Wagner, and Efstathia Andrikopoulou. “Echocardiographic and socioeconomic predictors of progression of moderate tricuspid regurgitation: a single center study”. In: Journal of the American College of Cardiology 79.9 Supplement (2022), pp. 1722–1722.

[7] Sanjaya Gupta, Mirza Khan, Miguel Sotelo, Logan Brigman, Christopher Rogers, Loren Wagner, Daniel Steinhaus, Cara Feind, Jessica Kline, and Alan Wimmer. “A Novel Artificial Intelligence Algorithm to Identify Patients at Risk of Sudden Cardian Arrest”. In: Heart Rhythm 20.5, Supplement (2023). Heart Rhythm 2023: May 19-21, 2023, New Orleans, Louisiana, S615.

[8] U. Hasnie, A. Hasnie, A. Gann, M. Griffin, O. Hudson, K. Sarode, B. Wang, J. Roemen, Wagner, L., M. Sotelo, C. Rogers, and E. Andrikopoulou. “Development of a Machine Learning Algorithm for Predicting In-patient Mortality in COVID-19 Patients”. In: Journal of the American Society of Echocardiography .

[9] Usman Hasnie, Ammar Hasnie, Anna Gann, Marquis Griffin, Olivia Hudson, Karan Sarode, Bo Wang, Miguel Sotelo, Loren Wagner, Chris Rodgers, Logan Brigman, Daniel O’Hair, Navjot Kohli, and Efstathia Andrikopoulou. “Moderate/Severe Mitral Regurgitation and Tricuspid Regurgitation Associated with Increased Mortality in Hospitalized Patients with Covid-19”. In: Journal of the American College of Cardiology 77.18 Supplement 1 (2021), pp. 3093–3093.

[10] Gaither Horde, loren wagner, Max Oscherwitz, Bobby Brouner, Alex D’Amico, Ashlyn Shields, Pamela Cargo, Miguel Sotelo, Christopher Rogers, Oscar Julian Booker, and Efstathia An- drikopoulou. “Outpatient Follow up Predictors in Patients with Cardiovascular disease enrolled in the Centers for Medicare and Medicaid (CMS) Bundled Payments for Care Improvement- Advanced (BPCI-A) Initiative”. In: ACC 2024 (accepted) (2024).

[11] Olivia Hudson, Maria Gabriela Gastanadui, Miguel Sotelo, Loren Wagner, Chris Rogers, and Andrikopoulou Efstathia. “A Machine Learning Analysis of Progression From Moderate to Severe Tricuspid Regurgitation”. In: Circulation 144.Suppl 1 (2021), A11784–A11784.

[12] Kris Kumar, Timothy Byrne, Timothy Simpson, Ashraf Samhan, Raj Shah, Jorge Rodriguez, Loren Wagner, Miguel Sotelo, Chris Rogers, Scott Chadderdon, Howard Song, Harsh Golwala, and Firas Zahr. “TCT-408 Clinical Predictors of Mortality and Heart Failure Hospitalization in Patients With Severe Tricuspid Regurgitation”. In: Journal of the American College of Cardiology 78.19 Supplement S (2021), B167–B168.

[13] Kris Kumar, Timothy Simpson, Ashraf Samhan, Katie Murphy, Omar Khan, Loren Wagner, Miguel Sotelo, Scott Chadderdon, Howard Song, Harsh Golwala, and Firas Zahr. “Clinical Predictors of Mortality in Patients with Severe Tricuspid Regurgitation”. In: Journal of the American College of Cardiology 77.18, Supplement 1 (2021), p. 1201.

[14] Daniel O’Hair, Janet Kimmel, Molly Ware, Miguel Sotelo, Jill Kohli, Loren Wagner, and Chris Rogers. “Driving the Guidelines With Data: The Case for Biannual Echo in Moderate Mitral Regurgitation”. In: Journal of the American College of Cardiology 80.12, Supplement

(2022). Transcatheter Cardiovascular Therapeutics Abstracts, B149.

[15] Daniel O’Hair, Janet Kimmel, Moly Ware, Miguel Sotelo, Loren Wagner, Chris Rogers, Logan Brigman, and Navjot Kohli. “Detecting Mitral Regurgitation and Tracking Care Path Compliance Using a Novel Digital Platform”. In: Journal of the American College of Cardiology 77.18, Supplement 1 (2021), pp. 3238–3238.

[16] Shaefali Padiyar, Shizhen Liu, Miguel Sotelo, Chris Rogers, Loren Wagner, Pradeep K. Yadav, Vivek Rajagopal, Amy E. Simone, Vibhav S. Rangarajan, Peter Flueckiger, Vinod H. Thourani, and Mani A. Vannan. “Tricuspid Regurgitation Disease Progression and Machine Learning-Based Cluster Analysis of Greater Than Moderate Tricuspid Regurgitation Reveals Distinct Population With Different Phenotypes and Clinical Outcomes”. In: Journal of the American College of Cardiology 79.9 Supplement (2022), pp. 1711–1711.

[17] Harish Ravipati, Maria Gabriela Gastanadui, Miguel Sotelo, Loren Wagner, Chris Rogers, and Efstathia Andrikopoulou. “Racial and Echocardiographic Predictors of All-Cause Mortality in Patients with Moderate Tricuspid Regurgitation: a Single Center Study”. In: Journal of the American College of Cardiology 79.9 Supplement (2022), pp. 1708–1708.

[18] B. Uribe, S. Liu, A. Gurung, P. Yadav, V. Rajagopal, A. Simone, M. Sotelo, Wagner, L., C. Rogers, VS. Rangarajan, P. Flueckiger, and M. Vannan. “Machine Learning-Based Cluster Analysis of Patients With Significant Tricuspid Regurgitation Reveals Distinct Population With Different Phenotypes and Clinical Outcomes”. In: Journal of the American Society of Echocardiography (2021).

[19] Amit N. Vora, Hemal Gada, Miguel Sotelo, Loren Wagner, Chris Rogers, Logan Brigman, Daniel O’Hair, and Navjot Kohli. “Automated Surveillance of Hemodynamic Valve Performance via an Integrated Artificial Intelligence Platform”. In: Cardiovascular Revascularization Medicine 40 (2022), pp. 80–81.

[20] B. Wang, O. Hudson, A. Philip-George, M. Sotelo, Wagner, L., C. Rogers, and E. Andrikopoulou.

“Machine Learning Tools to Predict Progression of Moderate Mitral Regurgitation”. In: Journal of the American Society of Echocardiography (2021). Clinical Trials

[1] Addressing Undertreatment and Health Equity in Aortic Stenosis Using an Integrated EHR Plat- form (ALERT); NCT06099665. 2024. url: https://clinicaltrials.gov/study/NCT06099665. CODING AND HIGH PERFORMANCE COMPUTING

R Advanced

PEER REVIEW

Econometric Reviews

REFERENCES

Dr. Scott Adams

University of Wisconsin - Milwaukee

Department of Economics

Bolton Hall

Milwaukee, WI 53201

*******@***.***

Dr. Bharatendu Srivastava

Marquette University

Department of Business Adminstration

Straz Hall

Milwaukee, WI 53233

******.**********@*********.***

Chris Rogers

Mpirik

Milwaukee, WI

*****.******@******.***

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