Lisa Wang

Lisa Wang is a dedicated individual with a strong passion for developing technologies aimed at enhancing decision-making processes and increasing access to knowledge for all.

With a Master's and Bachelor's degree in Computer Science from Stanford University, Lisa has a robust academic background in the field.

She has a diverse professional experience, having worked in prestigious organizations such as DeepMind, Google AI, Orbital Insight, and Apple, specializing in machine learning, computer vision, and research engineering.

Lisa's contributions extend to academia, where she has taught courses like AI, data mining, and machine learning, showcasing her expertise in these areas.

Her commitment to education is further demonstrated through her roles as a Course Instructor and Course Assistant at Stanford University, where she has shared her knowledge with students.

Additionally, Lisa has engaged in research activities, including presenting her work at the Educational Data Mining Conference and exploring deep learning as a Student Researcher at Stanford University.

Her involvement in various internships, such as at Microsoft and Porsche Cars Australia, has enriched her professional journey, adding diverse perspectives to her skill set.

Lisa's leadership qualities are evident through her role as Chapter President at Tau Beta Pi at Stanford University, where she demonstrated organizational and interpersonal skills.

In summary, Lisa Wang is a versatile professional with a wealth of experience in technology development, research, education, and leadership, making her a valuable asset to any project or organization.