Jay Tarolli Email & Phone Number

San Diego, CA, US

Menlo Park, California, US

• Orchestrated the successful launch of Ionpath’s new repeatable services offering called MIBIplus. This involved overseeing the commercial launch projects across reagents, software development, bioinformatics, and.
• Directed the development of MIBIplus Manager, a user-friendly online portal for project ordering, management, and tracking. Collaborated closely with third-party developers to ensure integration with Ionpath’s.
• Managed cross-functional teams, including reagent R&D and software engineering driving improvement of Ionpath’s product offering for both MIBIplus and MIBIscope customers.
• Led software release management process, including creating release notes, updating user guides, and coordinating regression and user acceptance testing to ensure smooth software deployments.

Menlo Park, California, US

• Headed a team of field application scientists, which served as primary point of contact for fifteen existing MIBIscope installation sites and future customers. Collaborated closely with field service and engineering.
• Led Reagents R&D team, enhancing the reliability and offerings of the MIBI consumables line.
• Provided crucial customer insights during the development of major software and algorithm features for MIBiscope customers that increased system usage and throughput by a factor of 2.

Menlo Park, California, US

• Reported customer issues and pain points to product, engineering, and software teams, escalating as necessary when recurring issues prevent customers from making reliable measurements. Provided user perspective and.
• Designed, implemented, and enforced workflows for support case resolution, escalation, and documentation using Zendesk, Jira, and internal communication tools.
• Represented end users in software release cycle planning by advocating for new features, prioritizing existing bugs and issues, performing user acceptance testing of software release candidates, and writing software.
• Troubleshooted and resolved customer issues across the entire MIBIscope platform, including assay development, sample preparation, instrumentation, and data analysis.

Menlo Park, California, US

• Designed and developed desktop application to post-process instrument data, integrating it with cloud-based data management software using a REST API. Productionized the isobaric correction algorithm resulting in a 10x.
• Utilized the multiplexed nature of MIBI data to train object detection models using TensorFlow for single cell segmentation with multi-channel input data.
• Managed undergraduate level summer and winter interns on the bioinformatics team.
• Contributed to open-source Python MIBI image data analysis tools used both in-house and by external users.
• Developed an algorithm which leverages spatial nature of interfering signal in MIBI images due to isobaric species created during the measurement. Worked with in-house scientists to design experiments for.
• Supported contract research at Ionpath by performing downstream analysis of MIBI data, including single cell segmentation, phenotyping, cell-cell distance profiling, and cell density measurements for top pharma.

Menlo Park, California, US

• Developed an algorithm which leverages spatial nature of interfering signal in MIBI images due to isobaric species created during the measurement. Worked with in-house scientists to design experiments for.
• Supported contract research at Ionpath by performing downstream analysis of MIBI data, including single cell segmentation, phenotyping, cell-cell distance profiling, and cell density measurements for top pharma.
• Developed Python code base for internal MIBI data users for data manipulation and visualization.

Richland, WA, US

• Designed, trained, and implemented a fully convolutional neural network with TensorFlow for denoising and removing background signal from mass spectrometry images of uranium-bearing particles. The neural network.
• Compiled a set of mass spectrometry images to serve as a training data set for the fully convolutional neural network. Sought and identified existing images which comprise different types of analyses to train a robust.
• Segmentation of SIMS chemical images for single particle measurements using traditional and machine learning based approaches.
• Furthered the application of image fusion for detection of nuclear materials with dynamic SIMS images of U-bearing particles using X-ray energy-dispersive spectroscopy (EDS) as a source of higher resolution information.

Phd, Chemistry

Bachelor Of Science, Chemistry