Abeer Hasan, Ph.D. - Managing Scientist - Data Sciences

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Academic Credentials

Ph.D., Statistics, Bowling Green State University, 2013
M.Sc., Applied Mathematics, University of Toledo, 2009
M.A., Mathematics, The University of Jordan, 2006
B.Sc., Honors with First Rank, Mathematics, The University of Jordan, 2001

Licenses & Certifications

Applying the Quality Online Learning & Teaching (QOLT) Instrument Certificate
Digitally Enhanced Teaching Certificate
Student Success Analytics Certificate
The Stanford Medical Statistics Certificate

Additional Education & Training

Thinking Critically: Interpreting Randomized Clinical Trials, Stanford Online, 2020.
SAS Visual Data Mining and Machine Learning on SAS Viya: Interactive Machine Learning, 2020.
Statistics for Data Science, Mathematical Association of America (MAA) mini-course, 2020.
Advanced R Programming, 2019.

Professional Honors

CSU Chancellor's Office Faculty Recognition Certificate for contributions to redesign of technology program and Introductory Biostatistics courses, 2017.
HSU President and College of e-Learning Faculty Recognition Award for designing an online Biostatistics course and contributions to CSU Quality Assurance initiatives, HSU, 2017.

Professional Affiliations

American Statistical Association

Dr. Hasan has broad experience in the application of statistical methods to problems in environmental science, medicine, and public health. Her areas of research expertise include change-point detection, distribution theory, mixtures of distributions, and skewed distributions.

Dr. Hasan also has a strong foundation in mathematics and proficiency in a range of software tools including R, RStudio, Minitab, MS Excel, and SAS.

Prior to joining Exponent, Dr. Hasan was a tenured associate professor at Humboldt State University (now Cal Poly Humboldt). She taught statistics, conducted research in statistics and statistics education, and provided statistical consulting to students and professors at the university. Dr. Hasan founded and directed a statistical consulting laboratory and provided statistical support for grant proposals, theses, and research papers. She led a research experience for undergraduates in topological data analysis, which students used to explore trends in COVID-19 hospitalization rates across different states. Dr. Hasan holds a certificate in Medical Statistics from Stanford University. In addition to her academic experience, Dr. Hasan worked briefly as a senior biostatistician at a pharmaceutical company, where she served as a study statistician for phase 2 clinical trials in ophthalmology.

Used topological data analysis to model COVID-19 hospitalization rates.

Provided statistical support for phase 2 clinical trials in ophthalmology.

Developed a model for long-tailed data and used it to model the concentrations of heavy metals in soil samples.

Used change-point detection to study stock market data and detect the location of change-points.

Conducted pedagogical experiments to assess the effectiveness of some innovative teaching, student support, and course design methods.

Mentored graduate research in studying the populations of endangered species.

Provided statistical consulting support for student research projects that involve applying statistics in forestry, wildlife management, fisheries, botany, chemistry, public health, education, and kinesiology.

Used multivariate statistics to study heart disease population and identify risk factors for heart disease.

Used MS Excel, R, and SAS for multiple research and consulting projects.
Made, A.F., and Hasan, A., "Creating a More Equitable Computer Science Course through Peer-Mentoring." Journal of Computational Science in Colleges, 35:5, 2020.
Made, A.F., and Hasan, A., Burgess, S., Tuttle, S., and Soetaert, N., "The Effect of Peer Tutoring in Reducing Achievement Gaps: A Success Story." Journal of Computational Science in Colleges, 35:1, 2019.
Made, A.F., and Hasan, A., Tuttle, S., and Tuttle, D., "Less is More: Assessment and Student Learning in Computer Science Education." Journal of Computational Science in Colleges, 34:4, 2019.
Hasan, A., and Hajra, S.G. "Using Oral Presentations to Facilitate Learning Statistics." The proceedings of the Conference on Research in Undergraduate Mathematics Education, 2017.
Hasan, A., Ning, W., and Gupta, A.K., "A non-central Skew t- Distribution with Applications to Environmental Data." Advances and Applications in Statistics, 49:2, 2016.
Hasan, A., Ning, W., and Gupta, A.K. "An Information-Based Approach to the Change-Point Problem of the Non-central Skew T Distribution with Applications to Stock Market Data." Sequential Analysis: Design Methods and Applications, 33:4, 2014.
Su, S., Hasan, A., and Ning, W. "The RS Generalized Lambda Distribution Based Calibration Model." International Journal of Statistics and Probability, 2:1, 2013.
Presentations
"Managing a REU during a Global Health Pandemic". Contributed webinar at the Lilly Conference on Teaching and Learning", 2021.
"Integrating Technology and Collaborative Activities to Facilitate Engaged Learning." The Lilly Conference for innovative teaching, San Diego, CA, 2020.
"A Technology-Enhanced, Flipped Course Design to Foster Student Understanding of Statistics." Contributed talk, The Joint Mathematics Meeting, Denver, CO, 2020.
"An Introduction to the Change-Point Problem and Its Applications." HSU Mathematics Department Colloquium talk, Arcata, CA, 2018.
"Integrating Oral Presentations in Mathematics Content Courses for Pre-service Teachers." Research in Undergraduate Mathematics Education Conference, Pittsburgh, PA, 2016.
"Oral Presentations: An Alternative Practice in Assessing Student Learning in Mathematics and Statistics." Lilly Conference on Evidence-Based Teaching and Learning, Newport Beach, CA, 2016.
"An Information-Based Methodology for the Change-Point Problem under the Non-central Skewed t-Distribution with Applications." Fourth International Workshop in Sequential Methodologies invited talk, University of Georgia, Athens, GA, 2013.
"Flexible Families of Skew t Distributions with Applications." Joint Mathematics Meeting, San Diego, CA, 2013.

Abeer Hasan

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