ASA Houston Chapter Presidential Vote

Please input your name:

Please input your email address:

Candidates Information

	Candidate 1	Candidate 2
Name	Yu Deng Senior statistician at AbbVie, secretary at ASA Houston area chapter	Evan Kwiatkowski Assistant Professor – Department of Biostatistics and Data Science at UTHealth Houston Member of ASA Houston Chapter
Degree	PhD	PhD Biostatistics, University of North Carolina at Chapel Hill, 2021
Fields of Major Statistical Activities	Biomedical informatics	Biostatistics, Statistics
Selected publication (optional)	Deng, Y., Xing Y., Quach J., Li Wan., Zhong S. (2024). developing Large Language Models for Adverse Drug Event Detection in Tweets. Journal of Biopharmaceutical Statistics. Under revision. Wei, Y., Deng, Y., Sun, C., Lin, M., Jiang, H., & Peng, Y. (2024). Deep learning with noisy labels in medical prediction problems: a scoping review. Journal of the American Medical Informatics Association, ocae108. Deng, Y., Gleason, L. P., Culbertson, A., Chen, X., Bernstam, E. V., Cullen, T., ... & Kho, A. (2023). Evolving availability and standardization of patient attributes for matching. Health Affairs Scholar, 1(4), qxad047. Deng, Y., Ghamsari, F., Lu, A., Yu, J., Zhao, L., & Kho, A. N. (2022). Use of real-world evidence data to evaluate the comparative effectiveness of second-line type 2 diabetes medications on chronic kidney disease. Journal of Clinical & Translational Endocrinology, 30, 100309. Deng, Y., Liu, L., Jiang, H., Peng, Y., Wei, Y., Zhou, Z., ... & Zhao, L. (2022). Comparison of State-of-the-Art Neural Network Survival Models with the Pooled Cohort Equations for Cardiovascular Disease Risk Prediction. BMC Medical Informatics and Decision Making. Deng, Y., Pacheco, J. A., Ghosh, A., Chung, A., Mao, C., Smith, J. C., ... & Luo, Y. (2022). Natural language processing to identify lupus nephritis phenotype in electronic health records. BMC Medical Informatics and Decision Making, 22(2), 1-11. Yu, J., Yang, X., Deng, Y., Krefman, A. E., Pool, L. R., Zhao, L., ... & Allen, N. B. (2024). Incorporating longitudinal history of risk factors into atherosclerotic cardiovascular disease risk prediction using deep learning. Scientific Reports, 14(1), 2554.	Yang, C-H, Kwiatkowski, E., Lee, J. J., Lin, R. REDOMA: Bayesian random-effects dose-optimization meta-analysis using spike-and-slab priors. Statistics in Medicine. 2024; 1-19. doi: 10.1002/sim.10107 Kwiatkowski, E., Zhu, J., Li, X., Pang, H., Lieberman, G., Psioda, M. A. (2024), Case weighted power priors for hybrid control analyses with time-to-event data, Biometrics, 80(2). https://doi.org/10.1093/biomtc/ujae019 Kwiatkowski, E., Andraca-Carrera, E., Soukup, M., & Psioda, M. A. (2022). A structured framework for adaptively incorporating external evidence in sequentially monitored clinical trials. Journal of Biopharmaceutical Statistics, 32(3), 474–495. https://doi.org/10.1080/10543406.2022.2078346
ASA Houston Activities*	Contributed to organizing ASA Houston area chapter 2023 annual symposium Contributed to organizing ASA short course for Houston area chapter	Member
Professional Committee (optional)	ASA Houston Area Chapter
Honors and Awards (optional)		Rice University, Future Faculty Fellow, July 2022 University of Colorado Denver, College of Liberal Arts and Sciences Outstanding Graduate Student, May 2014 Lynn Bateman Memorial Teaching Fellowship, August 2011 Binghamton University Helen P. Beard Award for Excellence in Undergraduate Mathematics, May 2011 Award for Excellence in Mathematical Sciences Sigma Alpha Lambda Magna Cum Laude
Statements:	If selected as president, my primary goal will be to foster an environment within the ASA Houston chapter that encourages meaningful discussions, idea exchange, and collaboration on innovative projects. I firmly believe that by providing a platform for statisticians to come together and share their experiences, knowledge, and insights, we can collectively overcome challenges and drive the field of statistics forward. I am dedicated to ensuring that all members, regardless of their level of experience, feel valued and supported within our chapter. I will actively seek out opportunities to provide mentorship and guidance to young professionals, helping them navigate the early stages of their careers and fostering their growth and development. Furthermore, I am committed to promoting diversity and inclusivity within our chapter. I believe that a diverse range of perspectives and backgrounds leads to more robust and impactful statistical research and practice. I will work tirelessly to create an environment where everyone, whether you are a statistician, a bioinformatician, a machine learning scientist, or anyone who is passionate about statistics, feels welcome and encouraged to contribute their unique insights and ideas.	My primary goal as president will be to expand the size and influence of the HACASA chapter. To achieve this, I will foster greater interest through social gatherings and more frequent communications. Regular chapter meetings should be held at facilities that accommodate networking and social interaction, such as Rice University with outdoor tables near Valhalla, or a downtown Houston restaurant with a meeting room. I will enhance our presence on social media platforms like LinkedIn and X (formerly Twitter). Additionally, I will fulfill the core responsibilities of the presidency, including presiding over meetings, the executive committee, leadership council, and other events, as well as serving as the chapter's chief spokesperson. I will also maintain a strong working relationship with the ASA national office. Since 2020, I have presented annually at the Joint Statistical Meetings (JSM) and regularly attend other ASA conferences, such as the ASA Biopharmaceutical Section Regulatory-Industry Statistics Workshop. Before this year’s JSM, I will attend the 24th Meeting of New Researchers in Statistics and Probability, hosted by the Institute of Mathematical Statistics, demonstrating my commitment to both biostatistics and statistics to best serve our chapter's diverse interests. Over the past three years, I have had the privilege of working with outstanding statisticians in Houston through my employment at Rice University, MD Anderson, and currently as an Assistant Professor of Biostatistics and Data Science at UTHealth Houston. I look forward to getting more involved in the chapter by serving to the best of my ability.

Candidates Information

	Candidate 1	Candidate 2
Name	Yu Deng Senior statistician at AbbVie, secretary at ASA Houston area chapter	Evan Kwiatkowski Assistant Professor – Department of Biostatistics and Data Science at UTHealth Houston Member of ASA Houston Chapter
Degree	PhD	PhD Biostatistics, University of North Carolina at Chapel Hill, 2021
Fields of Major Statistical Activities	Biomedical informatics	Biostatistics, Statistics
Selected publication (optional)	Deng, Y., Xing Y., Quach J., Li Wan., Zhong S. (2024). developing Large Language Models for Adverse Drug Event Detection in Tweets. Journal of Biopharmaceutical Statistics. Under revision. Wei, Y., Deng, Y., Sun, C., Lin, M., Jiang, H., & Peng, Y. (2024). Deep learning with noisy labels in medical prediction problems: a scoping review. Journal of the American Medical Informatics Association, ocae108. Deng, Y., Gleason, L. P., Culbertson, A., Chen, X., Bernstam, E. V., Cullen, T., ... & Kho, A. (2023). Evolving availability and standardization of patient attributes for matching. Health Affairs Scholar, 1(4), qxad047. Deng, Y., Ghamsari, F., Lu, A., Yu, J., Zhao, L., & Kho, A. N. (2022). Use of real-world evidence data to evaluate the comparative effectiveness of second-line type 2 diabetes medications on chronic kidney disease. Journal of Clinical & Translational Endocrinology, 30, 100309. Deng, Y., Liu, L., Jiang, H., Peng, Y., Wei, Y., Zhou, Z., ... & Zhao, L. (2022). Comparison of State-of-the-Art Neural Network Survival Models with the Pooled Cohort Equations for Cardiovascular Disease Risk Prediction. BMC Medical Informatics and Decision Making. Deng, Y., Pacheco, J. A., Ghosh, A., Chung, A., Mao, C., Smith, J. C., ... & Luo, Y. (2022). Natural language processing to identify lupus nephritis phenotype in electronic health records. BMC Medical Informatics and Decision Making, 22(2), 1-11. Yu, J., Yang, X., Deng, Y., Krefman, A. E., Pool, L. R., Zhao, L., ... & Allen, N. B. (2024). Incorporating longitudinal history of risk factors into atherosclerotic cardiovascular disease risk prediction using deep learning. Scientific Reports, 14(1), 2554.	Yang, C-H, Kwiatkowski, E., Lee, J. J., Lin, R. REDOMA: Bayesian random-effects dose-optimization meta-analysis using spike-and-slab priors. Statistics in Medicine. 2024; 1-19. doi: 10.1002/sim.10107 Kwiatkowski, E., Zhu, J., Li, X., Pang, H., Lieberman, G., Psioda, M. A. (2024), Case weighted power priors for hybrid control analyses with time-to-event data, Biometrics, 80(2). https://doi.org/10.1093/biomtc/ujae019 Kwiatkowski, E., Andraca-Carrera, E., Soukup, M., & Psioda, M. A. (2022). A structured framework for adaptively incorporating external evidence in sequentially monitored clinical trials. Journal of Biopharmaceutical Statistics, 32(3), 474–495. https://doi.org/10.1080/10543406.2022.2078346
ASA Houston Activities*	Contributed to organizing ASA Houston area chapter 2023 annual symposium Contributed to organizing ASA short course for Houston area chapter	Member
Professional Committee (optional)	ASA Houston Area Chapter
Honors and Awards (optional)		Rice University, Future Faculty Fellow, July 2022 University of Colorado Denver, College of Liberal Arts and Sciences Outstanding Graduate Student, May 2014 Lynn Bateman Memorial Teaching Fellowship, August 2011 Binghamton University Helen P. Beard Award for Excellence in Undergraduate Mathematics, May 2011 Award for Excellence in Mathematical Sciences Sigma Alpha Lambda Magna Cum Laude
Statements:	If selected as president, my primary goal will be to foster an environment within the ASA Houston chapter that encourages meaningful discussions, idea exchange, and collaboration on innovative projects. I firmly believe that by providing a platform for statisticians to come together and share their experiences, knowledge, and insights, we can collectively overcome challenges and drive the field of statistics forward. I am dedicated to ensuring that all members, regardless of their level of experience, feel valued and supported within our chapter. I will actively seek out opportunities to provide mentorship and guidance to young professionals, helping them navigate the early stages of their careers and fostering their growth and development. Furthermore, I am committed to promoting diversity and inclusivity within our chapter. I believe that a diverse range of perspectives and backgrounds leads to more robust and impactful statistical research and practice. I will work tirelessly to create an environment where everyone, whether you are a statistician, a bioinformatician, a machine learning scientist, or anyone who is passionate about statistics, feels welcome and encouraged to contribute their unique insights and ideas.	My primary goal as president will be to expand the size and influence of the HACASA chapter. To achieve this, I will foster greater interest through social gatherings and more frequent communications. Regular chapter meetings should be held at facilities that accommodate networking and social interaction, such as Rice University with outdoor tables near Valhalla, or a downtown Houston restaurant with a meeting room. I will enhance our presence on social media platforms like LinkedIn and X (formerly Twitter). Additionally, I will fulfill the core responsibilities of the presidency, including presiding over meetings, the executive committee, leadership council, and other events, as well as serving as the chapter's chief spokesperson. I will also maintain a strong working relationship with the ASA national office. Since 2020, I have presented annually at the Joint Statistical Meetings (JSM) and regularly attend other ASA conferences, such as the ASA Biopharmaceutical Section Regulatory-Industry Statistics Workshop. Before this year’s JSM, I will attend the 24th Meeting of New Researchers in Statistics and Probability, hosted by the Institute of Mathematical Statistics, demonstrating my commitment to both biostatistics and statistics to best serve our chapter's diverse interests. Over the past three years, I have had the privilege of working with outstanding statisticians in Houston through my employment at Rice University, MD Anderson, and currently as an Assistant Professor of Biostatistics and Data Science at UTHealth Houston. I look forward to getting more involved in the chapter by serving to the best of my ability.

Please vote for one candidate as president:

Yu Deng

Evan Kwiatkowski

{"name":"ASA Houston Chapter Presidential Vote", "url":"https://www.supersurvey.com/QPREVIEW","txt":"Please input your name:, Please input your email address:, Candidates Information Candidate 1 Candidate 2 Name Yu Deng Senior statistician at AbbVie, secretary at ASA Houston area chapter Evan Kwiatkowski Assistant Professor – Department of Biostatistics and Data Science at UTHealth Houston Member of ASA Houston Chapter Degree PhD PhD Biostatistics, University of North Carolina at Chapel Hill, 2021 Fields of Major Statistical Activities Biomedical informatics Biostatistics, Statistics Selected publication (optional) Deng, Y., Xing Y., Quach J., Li Wan., Zhong S. (2024). developing Large Language Models for Adverse Drug Event Detection in Tweets. Journal of Biopharmaceutical Statistics. Under revision. Wei, Y., Deng, Y., Sun, C., Lin, M., Jiang, H., & Peng, Y. (2024). Deep learning with noisy labels in medical prediction problems: a scoping review. Journal of the American Medical Informatics Association, ocae108. Deng, Y., Gleason, L. P., Culbertson, A., Chen, X., Bernstam, E. V., Cullen, T., ... & Kho, A. (2023). Evolving availability and standardization of patient attributes for matching. Health Affairs Scholar, 1(4), qxad047. Deng, Y., Ghamsari, F., Lu, A., Yu, J., Zhao, L., & Kho, A. N. (2022). Use of real-world evidence data to evaluate the comparative effectiveness of second-line type 2 diabetes medications on chronic kidney disease. Journal of Clinical & Translational Endocrinology, 30, 100309. Deng, Y., Liu, L., Jiang, H., Peng, Y., Wei, Y., Zhou, Z., ... & Zhao, L. (2022). Comparison of State-of-the-Art Neural Network Survival Models with the Pooled Cohort Equations for Cardiovascular Disease Risk Prediction. BMC Medical Informatics and Decision Making. Deng, Y., Pacheco, J. A., Ghosh, A., Chung, A., Mao, C., Smith, J. C., ... & Luo, Y. (2022). Natural language processing to identify lupus nephritis phenotype in electronic health records. BMC Medical Informatics and Decision Making, 22(2), 1-11. Yu, J., Yang, X., Deng, Y., Krefman, A. E., Pool, L. R., Zhao, L., ... & Allen, N. B. (2024). Incorporating longitudinal history of risk factors into atherosclerotic cardiovascular disease risk prediction using deep learning. Scientific Reports, 14(1), 2554. Yang, C-H, Kwiatkowski, E., Lee, J. J., Lin, R. REDOMA: Bayesian random-effects dose-optimization meta-analysis using spike-and-slab priors. Statistics in Medicine. 2024; 1-19. doi: 10.1002\/sim.10107 Kwiatkowski, E., Zhu, J., Li, X., Pang, H., Lieberman, G., Psioda, M. A. (2024), Case weighted power priors for hybrid control analyses with time-to-event data, Biometrics, 80(2). https:\/\/doi.org\/10.1093\/biomtc\/ujae019 Kwiatkowski, E., Andraca-Carrera, E., Soukup, M., & Psioda, M. A. (2022). A structured framework for adaptively incorporating external evidence in sequentially monitored clinical trials. Journal of Biopharmaceutical Statistics, 32(3), 474–495. https:\/\/doi.org\/10.1080\/10543406.2022.2078346 ASA Houston Activities* Contributed to organizing ASA Houston area chapter 2023 annual symposium Contributed to organizing ASA short course for Houston area chapter Member Professional Committee (optional) ASA Houston Area Chapter Honors and Awards (optional) Rice University, Future Faculty Fellow, July 2022 University of Colorado Denver, College of Liberal Arts and Sciences Outstanding Graduate Student, May 2014 Lynn Bateman Memorial Teaching Fellowship, August 2011 Binghamton University Helen P. Beard Award for Excellence in Undergraduate Mathematics, May 2011 Award for Excellence in Mathematical Sciences Sigma Alpha Lambda Magna Cum Laude Statements: If selected as president, my primary goal will be to foster an environment within the ASA Houston chapter that encourages meaningful discussions, idea exchange, and collaboration on innovative projects. I firmly believe that by providing a platform for statisticians to come together and share their experiences, knowledge, and insights, we can collectively overcome challenges and drive the field of statistics forward. I am dedicated to ensuring that all members, regardless of their level of experience, feel valued and supported within our chapter. I will actively seek out opportunities to provide mentorship and guidance to young professionals, helping them navigate the early stages of their careers and fostering their growth and development. Furthermore, I am committed to promoting diversity and inclusivity within our chapter. I believe that a diverse range of perspectives and backgrounds leads to more robust and impactful statistical research and practice. I will work tirelessly to create an environment where everyone, whether you are a statistician, a bioinformatician, a machine learning scientist, or anyone who is passionate about statistics, feels welcome and encouraged to contribute their unique insights and ideas. My primary goal as president will be to expand the size and influence of the HACASA chapter. To achieve this, I will foster greater interest through social gatherings and more frequent communications. Regular chapter meetings should be held at facilities that accommodate networking and social interaction, such as Rice University with outdoor tables near Valhalla, or a downtown Houston restaurant with a meeting room. I will enhance our presence on social media platforms like LinkedIn and X (formerly Twitter). Additionally, I will fulfill the core responsibilities of the presidency, including presiding over meetings, the executive committee, leadership council, and other events, as well as serving as the chapter's chief spokesperson. I will also maintain a strong working relationship with the ASA national office. Since 2020, I have presented annually at the Joint Statistical Meetings (JSM) and regularly attend other ASA conferences, such as the ASA Biopharmaceutical Section Regulatory-Industry Statistics Workshop. Before this year’s JSM, I will attend the 24th Meeting of New Researchers in Statistics and Probability, hosted by the Institute of Mathematical Statistics, demonstrating my commitment to both biostatistics and statistics to best serve our chapter's diverse interests. Over the past three years, I have had the privilege of working with outstanding statisticians in Houston through my employment at Rice University, MD Anderson, and currently as an Assistant Professor of Biostatistics and Data Science at UTHealth Houston. I look forward to getting more involved in the chapter by serving to the best of my ability.","img":"https://www.supersurvey.com/3012/images/ogquiz.png"}

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