Tiffany Callahan Email & Phone Number

United States

United States

Armonk, New York, NY, US

• Build and design models for cellular engineering, materials science, and healthcare life sciences.
• Aid in the development of multi-agent-based systems/workflows to improve data interoperability and accelerate discovery within materials science.
• Engage in cross-domain collaborations to aid in the design, development, and evaluation of foundation models.

New York, NY, US

• Implement and evaluate innovative machine learning approaches to identify causal explanations for rare events, like adverse drug reactions, using electronic health record data, publicly available data and knowledge.
• Advise and mentor students on algorithm design, knowledge engineering, machine learning pipelines, and test-driven development.
• Participate in an international collaboration (academia, industry) tasked with developing tools and conducting studies to advance our understanding of long COVID by analyzing large-scale multimodal data (Python.

Aurora, CO, US

• Designed, built, and evaluated custom machine learning pipelines to solve a variety of problems within the biomedical domain using multimodal data from publicly available resources, scientific literature, and knowledge.
• Coordinated, built, and deployed a research database containing >169 million records using SQL, Google BigQuery, and Python.
• Advised students on study design and data management and performed analyses (statistics, machine learning) for faculty.

San Francisco, California, US

• Established GDPR- and ePrivacy-compliant data protocols to enable use of previous inaccessible customer data for machine learning (patent pending: US20220147654A1).
• Applied embedding and hashing algorithms to encode protected email content and prototyped an NLP and machine learning frame-work using Python and Amazon Elastic Compute Cloud (AWS EC2).

US

Built and tested a composite similarity algorithm in Python to jointly learn representations of patients and vocabulary concepts for supervised classification of rare disease patients (from electronic health records) using scikit-learn and Google BigQuery.

Boulder, Colorado, US

• Scheduled and led bi-weekly lab meetings, designed and maintained lab website and listservs.
• Managed 7 federally-funded projects and supervised a team of over 15 volunteers, professional research assistants, and students.
• Established data collection and entry protocols and built and maintained several databases (Microsoft Access).
• Analyzed data (R, SPSS, SAS) and prepared manuscripts resulting in 8 publications and 17 conference presentations.

Los Altos Hills, California, US

• Advised employees on the development, testing, and productization of an empirically validated intervention for high-risk youth.
• Trained State Health Department staff on how to implement the interventions.
• Helped agencies collect and analyze results from intervention implementations using custom programs (R, SPSS, SAS).

Albuquerque, NM, US

• Prepared and analyzed data for federal grant submissions and manuscripts using R, SPSS, and SAS.
• Developed a robust data entry system (Microsoft Access) to monitor projects and enable analyses for presentations and publications.
• Programmed questionnaire systems (MediaLab), collected biological samples, conducted clinical interviews, and led interventions.

Doctor Of Philosophy (Ph.D.), Computational Biology

Master'S Degree, Applied Biostatistics

Bachelors, Psychology