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Jenny Yang
Staff Machine Learning Scientist at Apple
Professional Background
Jenny Yang is an accomplished professional dedicated to harnessing the power of technology to enhance public health outcomes. With an extensive background in biostatistics and data science, Jenny combines her expertise in causal inference and machine learning to tackle significant health challenges faced by populations today. Her innovative approach includes developing causal conscious machine learning algorithms, which ensure that ethical considerations in artificial intelligence (AI) are thoughtfully addressed as we explore the possibilities of advanced technology in health care.
Throughout her career, Jenny has held notable positions that have honed her skills in data-driven decision-making and population health interventions. As a former Staff Machine Learning Scientist at Apple in the Watch & Health division, Jenny leveraged her technical acumen to influence health technology development and contributed to various impactful projects designed to improve the wellness of users. Her experience with large data sets propelled her efforts in optimizing health strategies through scalable experimentation.
In addition to her role at Apple, Jenny gained substantial experience at Clover Health as a Senior Data Scientist, where she played an essential role in utilizing data to drive health outcomes and improve patient care processes. Her time at Insight Data Science—first as a Fellow and later as a Technical Advisor—further enriched her skill set, allowing her to apply her analytical capabilities to real-world problems faced by various organizations. Jenny's foundation in academia as a Graduate Research Assistant at the University of North Carolina at Chapel Hill provided her with the rigorous training required to excel in a fast-evolving field.
Education and Achievements
Jenny received her formal education in biostatistics from the University of North Carolina at Chapel Hill, where she earned both a Bachelor of Science in Public Health (BSPH) and a Doctor of Philosophy (PhD). Her academic journey instilled a strong theoretical base, which she adeptly applied in the professional realm. Throughout her education and career, Jenny continuously sought to integrate the latest advancements in technology with effective public health practices.
One of her standout achievements is her leadership role in the Watch & Health Inclusion & Diversity (I&D) Champions team at Apple. Jenny successfully evolved the team's function, focusing on the proactive development of diverse and inclusive initiatives that positioned Apple as a conscientious leader in the tech industry. Additionally, her dedication to fostering inclusivity is further exhibited through her establishment of the Women in Data Science group at Clover Health, demonstrating her commitment to empowering underrepresented groups in the field of data science.
Beyond her professional endeavors, Jenny is a passionate advocate for diversity and inclusion initiatives within the statistical community. As an active member of the American Statistical Association (ASA), she contributed her insights and expertise to various initiatives, including serving on the national planning committee for StatFest and for the Anti-Racism Task Force. These experiences reflect her dedication to ensuring equitable representation and opportunities within the field of statistics.
Achievements
Jenny Yang’s career is a testament to her ability to merge technology and public health effectively, making data-driven decisions that equip organizations to promote better health outcomes for populations. Backed by her proficiency in SQL, Python, and R, coupled with her past experience in SAS and C++, Jenny exemplifies the qualities of a forward-thinking data scientist.
With a keen eye for ethical practices in AI, Jenny's contributions through research and practical applications showcase the critical intersection of data science and public health. Her achievements underscore her commitment to advancing the field while advocating for inclusion and diversity, marking her as a thought leader in both her profession and community.
Tags
public health, machine learning, causal inference, data scientist, biostatistics, ethical AI, experimentation, optimization, technology in healthcare, diversity and inclusion, women in data science, ASA, University of North Carolina, Apple, Clover Health, Insight Data Science
Questions
How did Jenny Yang develop her expertise in causal inference in health?
What inspired Jenny Yang to focus on diversity and inclusion within technology and data science?
In what ways is Jenny Yang working to advance ethical AI practices in public health?
How has Jenny Yang's education at the University of North Carolina influenced her career in data science?
What initiatives did Jenny Yang implement while leading the Watch & Health I&D Champions team at Apple?
How does Jenny Yang utilize her proficiency in SQL, Python, and R to drive health outcomes?