WAKE FOREST SCHOOL OF MEDICINE Curriculum Vitae

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1 Page 1 WAKE FOREST SCHOOL OF MEDICINE NAME Jaime Lynn Speiser, PhD, MS ADDRESS Department of Biostatistical Sciences Wake Forest School of Medicine Medical Center Boulevard Winston-Salem, NC (336) jspeiser@wakehealth.edu EDUCATION 2010 Elon University Elon, NC BS, Mathematics 2012 The Ohio State University Columbus, OH MS, Statistics 2017 Department of Public Health Sciences Medical University of South Carolina Charleston, SC PhD, Biostatistics Research Advisors: Valerie Durkalski-Mauldin, PhD & Beth Wolf, PhD Thesis: Decision Tree and Random Forest Methodology for Clustered and Longitudinal Binary Outcomes EMPLOYMENT Academic Appointments Medical University of South Carolina Research Associate, Department of Public Health Sciences Graduate Research Assistant, Department of Public Health Sciences Wake Forest School of Medicine 2017 Present Assistant Professor, Department of Biostatistical Sciences

2 Page 2 ADMINISTRATIVE SERVICE Institutional Service Chaplain Search Committee Member, Elon University Intramural Volleyball Team Captain, Medical University of South Carolina Honor Council Member, College of Graduate Studies, Medical University of South Carolina Departmental Service Social Committee Member, Department of Public Health Sciences, Medical University of South Carolina 2017 Present Strategic Directions Committee Member, Department of Biostatistical Sciences, Wake Forest School of Medicine EXTRAMURAL APPOINTMENTS AND SERVICE Journal Reviewer Rejuvenation Research PROFESSIONAL MEMBERSHIPS AND SERVICE 2014 Present American Statistical Association HONORS AND AWARDS Presidential Scholarship, Elon University Elon College Fellow, Elon University Rashi Fellow, North Carolina Statewide Hillel 2010 Lubrizol Foundation Fellowship, The Ohio State University University Fellowship, The Ohio State University 2013 First Place, Research Day Oral Presentation, Medical University of South Carolina 2014 Outstanding Speaker Award, American Statistical Association Palmetto Symposium 2014 Women in Statistics Conference Junior Travel Award 2014 Second Place, Research Day Oral Presentation, Medical University of South Carolina 2015 Lester R. Curtin Award, American Statistical Association 2015 Boyd Harshbarger Travel Award, Southern Regional Council on Statistics 2016 Women in Statistics and Data Science Conference Travel Award M. Clinton Miller III Award, Department of Public Health Sciences, Medical University of South Carolina

3 Page 3 GRANT FUNDING Past Grant History National Institute of Neurological Disorders and Stroke, Antihypertensive Treatment of Acute Cerebral Hemorrhage II (Qureshi, PI; role: Research Associate/Biostatistician) National Institute of Neurological Disorders and Stroke, Albumin in Ischemic Stroke Trial (Ginsberg, PI; role: Research Associate/Biostatistician) National Institute of Diabetes and Digestive and Kidney Diseases, Acute Liver Failure Study Group (Lee, PI; role: Research Associate/Biostatistician) National Institute of Diabetes and Digestive and Kidney Diseases, Acute Liver Failure Study Group (Lee, PI; role: Graduate Student Assistant) National Center for Advancing Translational Sciences, South Carolina Clinical and Translational Research Institute TL1 Training Grant (Speiser, PI) PATENTS Received patent for MitoMoby Mitochondrial Morphology Analysis Software through the Medical University of South Carolina (patent number P13108) issued in 2014 BIBLIOGRAPHY Peer-Reviewed Publications 1. Speiser, J; Durkalski, V; Lee, W. Random forest classification of etiologies for an orphan disease. Stat Med. 2014;34(5): Leonard, A; Cameron, R; Speiser, J, et al. Quantitative analysis of mitochondrial morphology and membrane potential in living cells using high content imaging, machine learning, and morphological binning. BBA Mol Cell Res. 2015;1853(2): Kammerdiener, L; Speiser, J; Aquavella, J, et al. Protective effect of soft contact lenses after boston keratoprosthesis. Br J of Ophthalmol. 2015;100(4): Speiser, J; Lee, W; Karvellas, C. Predicting outcome on admission and post-admission for acetaminophen-induced acute liver failure using classification and regression tree models. PLoS One. 2015;10(4). 5. Karvellas, C; Speiser, J; Tremblay, M; Lee, W; Rose, C. Elevated FABP1 serum levels are associated with poorer survival in acetaminophen-induced acute liver failure. Hepatology. 2017;65(3): O Connell, N; Dai, L; Speiser, J; et. al. Methods for analysis of pre-post data in clinical research: a comparison of five common methods. J Biom Biostat. 2017;8(1). 7. Koch, D; Speiser, J; Durkalski, V, et al. The natural history of severe acute liver injury. Am J Gastroenterol, 2017;112(9): Karvellas, C; Speiser, J; Tremblay, M; Lee, W; Rose, C. In reply: elevated FABP1 serum levels are associated with poorer survival in acetaminophen-induced acute liver failure. Hepatology. 2017;66(2): Karvellas C; Speiser, J; Tremblay, M; Lee, W; Rose, C. The association between FABP7 serum levels with survival and neurological complications in acetaminophen-induced acute liver failure: a nested casecontrol study. Ann Intensive Care. 2017; 7(1):

4 Page 4 PRESENTATIONS AT PROFESSIONAL MEETINGS Statistical Presentations 1. Speiser, J; Delpish, A. Applying an M/M/1 queueing model to airport runway data. Elon University Student Undergraduate Research Forum (April 2009, Elon, NC). Oral Presentation. 2. Speiser, J; Durkalski, V; Lee, W. Random forest procedure for classification of etiologies of acute liver failure patients. Statistics Day at MUSC (September 2013, Charleston, SC). Poster Presentation. 3. Speiser, J; Durkalski, V; Lee, W. Random forest procedure for classification of etiologies in acute liver failure patients. American Statistics Association: Conference on Statistical Practice (February 2014, Tampa, FL). Oral Presentation. 4. Speiser, J; Durkalski, V; Lee, W. Random forest procedure for classification of etiologies of acute liver failure patients. South Carolina American Statistical Association: Palmetto Symposium and Spring Meeting (March 2014, Columbia, SC). Oral Presentation. Outstanding Speaker Award. 5. Speiser, J; Durkalski, V; Lee, W. Random forest classification of etiologies in acute liver failure patients. American Statistics Association: Women in Statistics Conference (May 2014, Raleigh, NC). Poster Presentation. Junior Travel Award. 6. O Connell, N; Dai, L; Jiang, Y, Speiser, J, et al. Bias and efficiency comparison of methods for analysis of pre-post data. Student Research Day at MUSC (November 2014, Charleston, SC). Poster Presentation. 7. O Connell, N; Dai, L; Jiang, Y, Speiser, J, et al. Bias and efficiency comparison of methods for analysis of pre-post data. South Carolina American Statistical Association: Fall South Carolina Statistics Consortium (November 2014, Clemson, SC). Poster Presentation. 8. Speiser, J; Durkalski, V; Wolf, B; Chung, D. Classification and regression tree modeling of binary outcomes for datasets with repeated measurements. Student Research Day at MUSC (November 2015, Charleston, SC). Oral Presentation. 9. Speiser, J; Wolf, B; Chung, D; Durkalski, V. Classification and regression tree modeling of correlated binary outcomes. American Statistical Association: Joint Statistical Meetings (August 2016, Chicago, IL). Oral Presentation. 10. Speiser, J; Wolf, B; Chung, D; Durkalski, V. A Decision tree method for modeling correlated binary outcomes. Women in Statistics and Data Science (October 2016, Charlotte, NC). Oral and Poster Presentation. Travel Award. 11. Speiser, J; Durkalski, V; Lee, W. Random forest classification of etiologies in acute liver failure patients. College of Graduate Studies Prospective Student Poster Session (January 2017, Charleston, SC). Invited Poster Presentation. 12. Speiser, J; Durkalski, V; Lee, W. Random forest classification of etiologies in acute liver failure patients. College of Graduate Studies Prospective Student Poster Session (March 2017, Charleston, SC). Invited Poster Presentation. 13. Speiser, J; Wolf, B; Chung, D; Karvellas, C; Koch, D; Durkalski, V. BiMM forest: a random forest method for modeling clustered and longitudinal binary outcomes. Association for Clinical and Translational Science Conference (April 2017, Washington, DC). Poster Presentation. 14. Speiser, J; Wolf, B; Chung, D; Durkalski, V. BiMM forest: a random forest method for modeling clustered and longitudinal binary outcomes. International Conference on Health Policy Statistics (January 2018, Charleston, SC). Poster Presentation. Clinical/Basic Science Presentations 1. Palesch, Y; Martin, R; Speiser, J, et al. Albumin in acute stroke (ALIAS) parts 1 and 2 trials: combined analysis. Canadian Stroke Congress (October 2013, Montreal, Canada). Poster Presentation. 2. Sanders, C; Welch, S; Speiser, J, et al. Impulsivity is related to high risk behavior in acetaminophen acute liver failure. American Association for the Study of Liver Diseases: The Liver Meeting (November 2013, Washington, DC). Poster Presentation. 3. Speiser, J; Durkalski, V; Lee, W. Determining the etiology of acute liver failure in patients using the random forest procedure. American Association for the Study of Liver Diseases: The Liver Meeting (November 2013, Washington, DC). Poster Presentation. 4. Speiser, J; Durkalski, V; Lee, W. Random forest procedure for classification of etiologies of acute liver failure patients. Student Research Day at MUSC (November 2013, Charleston, SC). Oral Presentation. First Place Award.

5 Page 5 5. Sanders, C; Speiser, J. Acetaminophen recall questionnaire in acute liver failure patients. Acute Liver Failure Study Acetaminophen Working Group Teleconference (January 2014). Oral Presentation. 6. Karvellas, C; Speiser, J; Lee, W. Determining late predictors of outcome for acetaminophen-induced acute liver failure using classification and regression tree (CART) modeling analysis. Intensive Care Emergency Medicine of Erasme University Hospital: International Symposium on Intensive Care and Emergency Medicine (March 2014, Brussels, Belgium). Poster Presentation. 7. Leonard, A; Wolf, B; Speiser, J, et al. Mitochondrial morphology and membrane potential analysis via high content imaging. Medical Scientist Training Program Research Day (April 2014, Charleston, SC). Oral Presentation. 8. Karvellas, C; Speiser, J; Lee, W. Determining late predictors of outcome for acetaminophen-induced acute liver failure using classification and regression tree (CART) modeling analysis. American Association for the Study of Liver Diseases: Digestive Disease Week (May 2014, Chicago, Illinois). Oral Presentation. 9. Ganger, D; Stravitz, R; Reddy, R; Battenhouse, H; Speiser, J, et al. The predictors of transplant free survival in fulminant autoimmune acute liver failure: the acute liver failure study group experience. American Association for the Study of Liver Diseases: Digestive Disease Week (May 2014, Chicago, Illinois). Poster Presentation. 10. Leonard, A; Wolf, B; Speiser, J, et al. Mitochondrial morphology and membrane potential quantification via automated high content image analysis. XXIX Congress of the International Society for Advancement of Cytometry (May 2014, Fort Lauderdale, Florida). Oral Presentation. 11. Palesch, Y; Martin, R; Speiser, J, et al. Analysis of 7-Year ALIAS parts 1 & 2 trials: should adaptive designs be considered for future trials to account for evolving medical management of stroke? World Stroke Organization: World Stroke Congress (October 2014, Istanbul, Turkey). Poster Presentation. 12. Speiser, J; Koch, D; Lee, W. Predicting progression from acute liver injury to acute liver failure using a machine learning algorithm. American Association for the Study of Liver Diseases: The Liver Meeting (November 2014, Boston, MA). Poster Presentation. 13. Speiser, J; Koch, D; Lee, W. Predicting progression from acute liver injury to acute liver failure using a machine learning algorithm. Student Research Day at MUSC (November 2014, Charleston, SC). Oral Presentation. Second Place Award. 14. Speiser, J; Koch, D; Lee, W. Predicting progression from acute liver injury to acute liver failure using a machine learning algorithm. EE Just Scientific Symposium at MUSC (February 2015, Charleston, SC). Invited Poster Presentation. 15. Speiser, J; Koch, D; Lee, W. Predicting progression from acute liver injury to acute liver failure using a machine learning algorithm. Southern Regional Council on Statistics Summer Research Conference (June 2015, Carolina Beach, NC). Poster Presentation. Boyd Harshbarger Travel Award. 16. Rule, J; Rakela, J; Sussman, N; Bass, N; Tillman, H; Speiser, J; et al. Indeterminate etiology of acute liver failure: fact or fiction? American Association for the Study of Liver Diseases: The Liver Meeting (November 2015, San Francisco, CA). Poster Presentation. 17. Karvellas, C; Speiser, J; Tremblay, M; Lee, W; Leslie, E; Rose, C. Elevated liver fatty acid binding protein serum levels improve prognostic discrimination of King s College Criteria and the ALFSG index in acetaminophen-induced acute liver failure: a case control study. American Association for the Study of Liver Diseases: The Liver Meeting (November 2016, Boston, MA). Oral Presentation. 18. Speiser, J; Karvellas, C; Rose, C. The association between brain fatty acid binding protein serum levels with survival and intracranial hypertension in acetaminophen-induced acute liver failure patients. Critical Care Canada Forum (November 2016, Toronto, Canada). Poster Presentation. 19. Speiser, J; Karvellas, C; Rose, C. Elevated serum liver-type fatty acid binding protein levels are associated with poorer survival in acetaminophen-induced acute liver failure. Student Research Day at MUSC (November 2016, Charleston, SC). Oral Presentation. 20. Karvellas, C; Speiser, J; Rose, C. The association between brain fatty acid binding protein serum levels with survival and intracranial hypertension in acetaminophen-induced acute liver failure patients. Society of Critical Care Medicine: Critical Care Congress (January 2017, Honolulu, HI). Oral and Poster Presentation. 21. Karvellas, C; Speiser, J; Sligl, W; Kumar, A. Predicting in-hospital mortality in pneumonia-associated septic shock patients using classification and regression tree (CART) methodology. Critical Care Canada Forum (October 2017, Toronto, Canada). Poster Presentation. 22. Pierce, C*; Speiser, J; Befus, D; Wells, R. Socioeconomic status and stress in migraineurs. Wake Forest School of Medicine Research Day (December 2017, Winston-Salem, NC). Poster Presentation.

6 Page 6 *Denotes student mentee INVITED EXTRAMURAL PRESENTATIONS AND SEMINARS Invited Seminar Presentations 1. Miami University Department of Statistics. Decision tree and random forest methodology for clustered and longitudinal binary outcomes. December University of Iowa Department of Biostatistics. Decision tree and random forest methodology for clustered and longitudinal binary outcomes. December Clemson University Department Mathematical Sciences. Decision tree and random forest methodology for clustered and longitudinal binary outcomes. February University of North Carolina at Charlotte Department of Public Health Sciences. Decision tree and random forest methodology for clustered and longitudinal binary outcomes. March DIDACTIC/SYSTEMATIC INSTRUCTION Elon University, College of Arts & Sciences Orientation Leader and Teaching Assistant, ELON101/Freshman Orientation Seminar (1 hr) The Ohio State University, Department of Statistics Laboratory Instructor, STAT135/Elementary Statistics (5 hr) Medical University of South Carolina, Department of Public Health Sciences Teaching Assistant, BMTRY713/Multivariate Methods in Biology & Medicine (3 hr) 2014 Medical University of South Carolina, Department of Public Health Sciences Teaching Assistant, BMTRY701/Biostatistical Methods II (5 hr) 2015 MENTORING RELATIONSHIPS Graduate Student 2017-Present Charles Pierce Neuroscience Graduate Program Thesis committee member PUBLIC OUTREACH 2015 Meet Jaime article in The Catalyst, Medical University of South Carolina newspaper

7 Page 7 COMMUNITY ACTIVITIES AND SERVICE Book Club Organizer/Discussion Leader I organized and led monthly discussions with a local book club Young Adult Division, Charleston Jewish Federation Member I participated in cultural, networking, and community service events.