Amanda Haffarnan

Awarded mentor-of-the-month in May and June 2024

• Directed forecasting, hiring, training, mentoring, and quality monitoring of precision analysis department.
• Directed individual and departmental goal setting to support internal and external goals, implementing scalable and efficient processes.
• Reported key objectives and results to executive leadership through visualizations and concise reports, supporting informed decision-making processes and strategic planning.
• Designed custom dashboards and reporting templates tailored to internal and external needs, enhancing visibility into key metrics and trends.
• Worked cross-functionally with R&D, biomedical engineering, academic and clinical project management, IT, and customer success to implement continuous process improvement through rapid company growth.
• Collaborated with AI algorithm engineers throughout training, validation, and testing of successive AI algorithm versions to ensure accuracy within analytic processes and data set delivery.
• Managed continuous process improvement of quantitative CT imaging software, analysis tools, and data set delivery, focused on efficiencies and quality.
• Managed multiple high-priority projects simultaneously throughout entire sequence, from contract negotiation to final delivery of accurate, timely results while maintaining clear communication with stakeholders.
• Ensured cross-departmental compliance with HIPAA regulations and confidential AI software protocols.

• Led volunteers working with children with disabilities.
• Established strong relationships with local organizations, fostering collaboration and expanding volunteer opportunities.

• Objective: Analyze RNAse X25 disruption by RNAi in Drosophila

• Objective: analyze PEDF growth factor in Mus musculus models

• Analyzed statistical and qualitative study results.
• Synthesized large volumes of information, identifying key trends and patterns relevant to research objectives.

Mathematics: calculus through differential equations, linear algebra, geometry, discrete mathematics, principles of statistics, statistical methods for research workers, mathematical principles of data science, visual communication of quantitative information, quantitative business analysis and decision making, research and strategic planning for advertising and public relations, quantitative investment analysis, management information systems, logic for mathematics and computer science

Science:
Biology: general biology, neurobiology, molecular and cellular biology, graduate cell biology, biomedical sciences, bioinformatics and computational biology, statistical bioinformatics, bioinformatics algorithms, systems biology, developmental biology, immunobiology, virology, microbiology, microbial ecology, medical bacteriology, introduction to biomedical engineering, advanced anatomy and physiology,

Biochemistry: general biochemistry, molecular biophysics, bioenergetics and metabolism, procaryotic diversity and ecology, glycobiology, enzyme kinetics and metabolism, molecular cell signaling, structural bioinformatics, cellular, molecular and developmental neuroscience

Genetics: molecular genetics, analytical genetics, advanced molecular genetics, statistical genetics, graduate epigenetics, advanced nutrition: nutrigenomics, nutrigenetics, and advanced lipid metabolism

Physics: classical physics, molecular and cell biophysics, nuclear physics, chemical thermodynamics

Chemistry: general chemistry, organic chemistry, chemical kinetics and mechanisms, chemical engineering thermodynamics
Education: mathematics for elementary education, teaching secondary mathematics using university mathematics, teaching science in the primary grades, principles and practices of learning with technology, foundations of educational inquiry