Meryum Syeda

I am pursuing a Master's in Epidemiology and Biostatistics at Berkeley, complemented by a certificate in New Media. This fuels my dedication to use statistical analysis and media advocacy to enhance public health initiatives, specializing in developing accessible communication strategies to support individuals with disabilities. My aim is geared towards leveraging media to dismantle barriers and foster an inclusive environment for all.

Mathematics for Machine Learning: Multivariate Calculus, 10/2023

• Covered fundamental concepts, including gradient computation, calculus simplification tools, and multidimensional surface applications. Learned to approximate functions and assess their accuracy, explore the role of calculus in neural network training, and its application in linear regression models.

Mathematics for Machine Learning: Linear Algebra, 10/2023

• Covered intricate concepts central to data-driven applications and foundational principles of linear algebra, focusing on vectors and matrices. Also delved into the complex notions of eigenvalues and eigenvectors and their practical use in image manipulation and algorithm understanding, all while emphasizing real-world coding applications in Python and Jupyter notebooks.

Mathematical Biostatistics I And II, 09/2023

• Advanced hypothesis testing, including power analysis, odds ratios, risk measures for binomial comparisons, and famous tests like Fisher's exact test and contingency tables. Also explored advanced biostatistical methods, including techniques for discrete matched pairs data and classical non-parametric approaches.

Single Variable Calculus, 09/2023

• Covered Calculus 1 and 2 concepts, including limits, L'Hopital's rule, derivatives, integration techniques, and series. In addition, explored applications in physics, computing areas and volumes, and numerical methods.

Essentials Epidemiology Tools For Public Health, 08/2023

• This course focused on assessing population health burdens and the effectiveness of mitigation efforts, offering essential skills and tools for understanding community health.

Western Psychological Association, Presentation on Peer Status and Social Information Processing in Girls with ADHD, 04/2022, Portland, OR

• Social information processing information was collected from participants by describing ambiguous situations of peer provocation, then coding responses for effectiveness, aggression, and hostile attribution bias. Girls with childhood hyperactivity are at risk for display of hostile attribution bias in adolescence, especially when accompanied by childhood peer rejection. Even more, ADHD in childhood is linked with increases in peer rejection by adolescence.
• Co-authors: Phuc T Nguyen, Ashley Halkett and Professor Stephen Hinshaw




Association for Psychological Science, Presentation on Social Exclusion in Girls with ADHD, 05/2022, Chicago, IL

• Rates of peer rejection and peer neglect were evaluated from childhood to adolescence among a sample of girls with and without ADHD. Girls with ADHD, but not those without, experienced increased peer rejection over time as well as greater severity in overall rates of social exclusion.
• Co-authors: Phuc T Nguyen, Ashley Halkett and Professor Stephen Hinshaw

• University of California- Berkeley, Disabled Students Program Notetaker : Submitted thorough lesson notes to assist students in classroom comprehension for course PSYCH 205 for Spring 2021 semester.
• University of California- Berkeley, Reader: Graded exams for PSYCH 140: Developmental Psychology course for Fall 2021 semester.