Peter Wiebe Email and Phone Number

At Abbott Rapid Diagnostics, we are at the forefront of innovation in healthcare. Our team is dedicated to researching, developing, and commercializing rapid human in vitro molecular diagnostic tests. We provide cutting-edge solutions that empower data-driven decision-making, enhancing the accuracy and efficiency of diagnostics in the medical field. Our multidisciplinary team supports infectious disease surveillance, bioinformatics, data analysis, statistics, machine learning, and software development. We work closely with the corporate IT organization to ensure that the technological needs of our scientists are met, facilitating seamless and robust diagnostic solutions.

• Contributed to the Abbott Pandemic Defense Coalition, inspired by COVID-19diagnostic assay development.• Transformed the internal command-line application, Divergent Virus Detection(DiVir), into an enterprise-grade, external-facing application using Docker andAWS Batch, improving cost efficiency and job duration.• Developed ReVamp, an application for viral surveillance, leveraging tools likeBlast, Bowtie2, Diamond, Mafft, and Spades for comprehensive NGS analysis andphylogenetic tree construction.• Created a reference database pipeline for NCBI viral genomes, optimizingtaxonomy curation through sequence similarity (clustering).• Configured AWS GPU servers for phylogenetic analysis with Beast.• Performed in silico inclusivity and exclusivity analysis for FDA submission ofmonkeypox assays.

• Developed an antibody analysis pipeline integrating cloud jobs with Illuminainstrument data, utilizing IMGT references within a private Abbott network.• Implemented a Blast server in Abbott's AWS cloud for company-wide use, ensuringprivacy through Docker• Created a pipeline for optimizing nucleotide sequences for expression invarious host systems (eg. bacteria, human, mouse, CHO, etc).

-Lead a team of 30+ data scientists, software developers, and engineers in a cross functional business, regularly aligning with marketing, service, operations, sales, IT, and finance.-Leveraged the agile scrum methodology to manage the software life-cycle of a portfolio of commercial available software applications (JIRA, Confluence, Bitbucket).-Hardened and enhanced the AlinIQ Inventory Management System, reducing customer reported defect rate 6 fold and enabling a 10 fold increase in sales globally (SQL Server, StarLIMS, RFID).-Orchestrated the implementation of a next generation sequencing bioinformatics pipeline using the AWS cloud and open source software components, enabling the Abbott Diagnostics global viral surveillance program greater capability to identify new and emerging infectious agents (Python, R, PHP, MySQL).-Lead the integration of the AlinIQ Business Intelligence System with Abbott internal systems to simplify installation, defect reporting, and measurement of application feature utilization (PostgreSQL, JAVA, JavaScript).-Achieved global regulatory compliance, i.e. CFR 21 Part 11 and FDA CFR 21 part 820, of our software development life-cycle infrastructure, including JAMA, JIRA, Confluence, Artifactory, Bitbucket, and Jenkins.-Created software design strategies used to achieve HIPAA and GPDR standards protecting PHI and PII of healthcare patients and personnel.-Created a proof of concept device to simultaneously detect long rang RFIDs using commodity hardware, Raspberry Pi, and open source software, Python.-Implemented a data science development environment including JupyterHub and RStudio integrated with source control to facilitate big data analyses with standard issue company PCs.

Our goal was to implement analytical and data management solutions that enable accurate, efficient, and timely data driven decision making.-Lead a team of 10+ data scientists, statistical programmers, and business analysts-Managed third party IT consulting services. -Managed a software portfolio of medical device verification and validation (clinical trials) data systems and web applications, providing automated statistical analysis and reporting for regulatory submissions (SQL server, C# .net, SAS)-Established reliability metrics and analytics on demand reporting system for new products in research and development (SQL server, C# .net)-Demonstrated the feasibility of querying sensor data from globally distributed instrumentation to detect anomalous performance, enabling preventative service events prior to instrument failure (Oracle SQL, SAS JSL) -Refactored and consolidated 20+ MS Excel statistical applications into 3 CFR 21 part 11 compliant software applications, verifying analytical accuracy with a library of >65,000 test scenarios, enabling the robust calculation of manufacturing specifications and sampling plans.(VBA, SAS JSL)-Remediated the clinical trials application infrastructure. Retired obsoleted applications. Documented and archived business critical clinical data, leveraging hashing algorithms to verify data integrity. Decommissioned obsoleted hardware. Reduced IT data center footprint.(Unix, Linux, PhP, mySQL)-Created a highly performant Monte Carlo calibration calculation simulator including weighted 4 parameter logistic regression, linear transformation, spline, linear regression, point-to-point, and logit-4 (SAS JSL, dll).

-Performed ad hoc data mining from a population of internal data systems including manufacturing, service, complaints, sales, etc. (SQL, SAS JSL)-Mined data warehouses to detect anomalies and likely candidates for root cause analyses using models including random forest, neural networks, step-wise linear regression (SQL, SAS JSL).-Recognized for developing easy to interpret graphs and figures representing otherwise complex concepts and analyses.

-Designed and conducted laboratory experiments to investigate unexpected performance of Abbott's diagnostic immunoassays. -Analyzed historical performance of immunoassay manufacturing testing to determine process trends (JMP).-Designed and conducted laboratory experiments to migrate internal quality test methods from obsoleted techniques to state of the art technology, documenting objective evidence in electronic laboratory notebooks.

NIH Funded Training Grant recipient performing diabetes research.

Designed and created genetically modified mice, which were used as tools to help elucidate the growth and transcription factor network necessary for the difffentiation of insulin-producing beta cells.

Designed and created genetically modified plants for protein expression