Vanessa Klotzman is an AI/ML engineer and lecturer based in Los Angeles with nine years of experience building software and teaching data-driven skills to undergraduate and graduate students. She combines academic instruction in data mining and software engineering with hands-on research applying deep learning and unsupervised methods to pediatric healthcare problems at CHOC Children's. Currently bridging roles in industry and healthcare research, she works on projects ranging from GenAI and NLP to understanding juvenile dermatomyositis, epilepsy–endocrinopathy correlations, AKI, and COVID-19 outcomes in children. Vanessa brings full-stack engineering experience from internships and product roles to her research work, enabling rapid prototyping and deployment of ML solutions informed by clinical partners. A PhD candidate in software engineering with a strong applied-math background, she is as comfortable mentoring students and high-school protégés as she is collaborating with physicians to translate models into improved patient care.
9 years of coding experience
2 years of employment as a software developer
Master's degree Software Engineering, Master's degree Software Engineering at California State University, Northridge
Full Stack Development Certification, Full Stack Development Certification at freeCodeCamp
Contributions:40 PRs, 39 pushes, 20 branches in 3 months
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