Neng Wang Email & Phone Number

College Park, Md, Us

As a Teaching Assistant at the University of Maryland, I supported undergraduate courses in Linear Algebra, Differential Equations, and Introduction to Statistics. My responsibilities included conducting recitation sessions to reinforce lecture material, designing and grading assignments, and providing one-on-one guidance to students during office hours. I collaborated with course instructors to develop learning materials and assessments, ensuring alignment with course objectives. Additionally, I facilitated group discussions to foster a deeper understanding of complex mathematical concepts and problem-solving techniques. This role allowed me to enhance my communication and leadership skills while contributing to students’ academic success in mathematics and statistics.

Silver Spring, Maryland, United States

During my tenure as a Biostatistician Summer Intern at the FDA in Silver Spring, MD, from May to August 2024, I engaged in rigorous analysis and data integrity checks across 7 New Drug Applications (NDAs). My primary focus was on ensuring the cleanliness and integrity of real-world data, which is crucial for the accurate evaluation and approval of new drugs. I implemented advanced imputation techniques, including windowed LOCF, BOCF, and WOCF, specifically tailored to address missing data challenges in rescue medication studies within acute pain NDAs. This not only improved the comparative analysis accuracy but also supported stronger regulatory decisions. Additionally, I led efforts in conducting detailed data simulations that bolstered the review and analysis processes, significantly enhancing the reliability of drug evaluation outcomes. The culmination of my work resulted in authoring a comprehensive manuscript that details these project findings, which is scheduled for submission to the Pain Journal. This role allowed me to deeply engage with biostatistical methods and contribute meaningfully to the field of drug evaluation.

Gaithersburg, Maryland, United States

At AstraZeneca, I embarked on an intricate project focused on CKD (Chronic Kidney Disease) trials. My journey commenced with an in-depth understanding of the SAP (Statistical Analysis Plan) and the Protocol, both essential facets of clinical trial processes.As the project progressed, I took the initiative to simulate data specifically for CKD trials, ensuring the accuracy and relevance of our analytical models. This simulation was pivotal in our analysis and provided valuable insights into the dynamics of CKD.The culmination of this project was my presentation to the team, where I articulated the methodologies employed, findings from the simulated data, and potential implications for future CKD research. This experience fortified my expertise in clinical trials and underscored the significance of data-driven decision-making in pharmaceutical research.

Bethesda, Maryland, United States

During my tenure as a Pre-Doctoral Fellow at the National Cancer Institute (NCI), I was instrumental in pioneering research that delved deep into the intricacies of Hidden Markov Models (HMM) applied to data from wearable devices.Our team recognized the potential of wearables as a rich data source, and I was at the forefront of harnessing this data. We embarked on a mission to refine the process of changepoint detection, leading to the proposal of an innovative method that leveraged the strengths of the HMM.

Doctor Of Philosophy - Phd, Statistics

Bachelor Of Science - Bs, Applied Mathematics