Vanessa Klotzman

• Integrated EMERSE into hospital infrastructure, configuring Solr, Tomcat, and MariaDB for scalable clinical text search.
• Developed indexing pipelines for clinical notes, optimizing ingestion, preprocessing, and Solr schema for efficient retrieval.
• Applied clinical NLP methods for entity recognition, de-identification, and normalization to enhance structured search capabilities.
• Collaborated with physicians and data scientists to establish HIPAA-compliant pipelines for sensitive patient data handling.
• Conducted research on clinical natural language processing, focusing on EMR search integration with NER models for entity extraction.

• Served as lecturer for courses Comp 380/L, Comp 490/491L, Comp 541, Comp 680, and Comp 641.
  Delivered engaging lectures on senior design principles and advanced software engineering.
  Instructed graduate-level data mining techniques to enhance student understanding.
  Facilitated learning in fundamentals of data science through comprehensive curriculum development.

• Researched knowledge gap detection in Retrieval-Augmented Generation systems, emphasizing embedding-based methods for evaluating knowledge base coverage.
• Developed GapView, a diagnostic framework utilizing cosine similarity, clustering, and visualization for assessing document support in question answering.
• Conducted experiments using synthetic and domain-specific datasets to evaluate system reliability and knowledge coverage.
• Applied dimensionality reduction techniques and topic modeling to analyze document and question alignment.
• Advanced clinical NLP research, focusing on automated ICD-10-CM coding and clinical note summarization.
• Published peer-reviewed articles on healthcare equity, medical coding automation, and applications of AI in software engineering.

Delivered lectures and created exams for multiple programming courses at UCI.

• Led discussion sections and held office hours to enhance student understanding.
• Graded assignments for courses including Information Retrieval and Project Management.
• Supported student learning in Programming in Java as a Second Language.
• Facilitated projects in Software System Design and Reverse Engineering.
• Engaged students through interactive discussions and hands-on activities.
• Enhanced curriculum delivery by implementing effective teaching strategies.

• Conducted extensive research to improve understanding of healthcare applications.
• Analyzed patient populations utilizing Telehealth and in-person primary care visits.
• Investigated correlations between epilepsy and endocrinopathies through rigorous data analysis.
• Performed NLP research to identify variable correlations in complex healthcare issues.
• Engaged in unsupervised learning project centered on juvenile dermatomyositis.
• Identified key patterns in AKI and COVID-19 trends among pediatric patients.
• Maintained accurate records of experimental protocols for regulatory compliance.

• Conducted extensive research on track-oriented multiple hypothesis tracking methodologies for location prediction challenges.
• Analyzed and evaluated prototype solutions for implementing MHT in track-oriented environments.
• Collaborated with researchers to assess performance, accuracy, and scalability of various MHT prototypes.
• Developed detailed reports summarizing strengths and weaknesses of each prototype regarding location prediction accuracy.
• Integrated selected MHT solution into existing systems to enhance tracking capabilities.
• Participated actively in meetings, providing insights to improve MHT implementation efficiency.
• Demonstrated problem-solving skills and meticulous data analysis focused on location prediction accuracy.
• Gained in-depth knowledge of MHT principles and applications in real-world location prediction scenarios.

• Mentored high school students in machine learning, algorithm analysis, and computer architecture projects.

• Collaborated with SIMBA administration team to develop self-service portal for users.
• Designed portal to streamline request submissions to administration team.
• Automated previously manual tasks, increasing efficiency for SIMBA users.

• Architected and innovated enterprise business solutions through ASP.NET, Angular, and SQL, concentrating on law-enforcement applications such as jail management systems.

• Facilitated DirectTV client inquiries and integration of ContentWise product.
• Collaborated with customers and solution architects to identify use cases for personalized UX.
• Ensured data integrity across all platforms.
• Created comprehensive requirements documentation to ensure accuracy and consistency.
• Developed prototypes to evaluate and compare solution alternatives.

• Developed multi-detection robot with nine interns, securing future exploration support from BP investors.
• Focused on utilizing NLP technologies to enhance robotic interaction capabilities.

• Developed prototypes for various machine learning models for DisneyLife.
• Established performance metrics to assess model health for DisneyLife.

• Utilized HTML5, CSS3, JavaScript, PHP, and SQL to develop web applications.
• Collaborated with teams to deliver client-focused products using agile methodology.
• Employed various UI Kits to enhance user experience in web development projects.
• Contributed to both university and external client projects, ensuring high-quality outcomes.