Director of Product Development, June 2023 - September 2024

• Led cross-functional teams, including reagent R&D and software engineering, and collaborated with operations, bioinformatics, marketing, and sales teams to successfully launch Ionpath’s new MIBIplus services offering.
• Directed the development of MIBIplus Manager, collaborating closely with third-party developers to ensure integration with Ionpath’s cloud-based visualization software.
• Managed cross-functional teams to deliver on product development milestones, consistently improving both internal processes and customer outcomes.
• Led software release management process for four application versions, including creating release notes, updating user guides, and coordinating regression and user acceptance testing to ensure smooth software deployments.

Director of Applications, November 2022 - June 2023

• Led a team of 4 field application scientists, collaborating closely with field service and engineering teams to resolve customer hardware, software, and bioinformatics issues across 15 MIBIscope installation sites. Reduced the time to customer resolution through close collaboration with field service, hardware engineering, and software engineering teams.
• Partnered with marketing, product management, and R&D teams to influence product roadmap based on customer insights.
• Influenced decision-making at cross-functional meetings, guiding teams on customer issues and system improvements. Crucial customer and subject matter expert insights led to the development of major software and algorithm features for MIBiscope customers that increased system usage and throughput by a factor of 2 and hardware improvements that increased fleet-wide system uptime from less than 50% to over 80%.
• Led Reagents R&D team, enhancing the reliability and offerings of the MIBI consumables line.

Applications Manager, September 2020 - October 2022

• Led the escalation process for customer issues and pain points, collaborating with product engineering and software engineering to troubleshoot and resolve critical blocking issues.
• Designed, implemented, and enforced workflows for support case resolution, escalation, and documentation using Zendesk, Jira, and internal communication tools.
• Advocated for 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 release notes.
• Troubleshooted and resolved customer issues across the entire MIBIscope platform, including assay development, sample preparation, instrumentation, and data analysis.

Senior Data Scientist, June 2019 - September 2020

• 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 speedup of execution.
• 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.

Data Scientist, September 2017 - May 2019

• Developed an algorithm which leverages spatial nature of interfering chemical signals in MIBI images due to isobaric species created during the measurement. Worked with in-house scientists to design experiments for characterizing, understanding, and quantifying the interference.
• 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 companies.
• Developed Python code base for internal MIBI data users for data manipulation and visualization.

Bioinformatics Consultant, March 2021 - Present

• Advised on conjugation and validation of metal-labelled antibodies for mouse and human liver samples which were subsequently imaged using ToF-SIMS with a C60 primary ion beam.
• Co-registered metabolite and lipidomic imaging data from H2O GCIB ToF-SIMS with C60 protein imaging data acquired with the same instrument.
• Performed single cell segmentation of protein images followed by tSNE clustering of proteomic, lipidomic, and metabolomic information in a single data set. This enabled the researchers to identify variations in lipid and metabolite species across cell types which are normally classified based on protein expression.
• Created 3D reconstructions of co-registered, multi-scan protein, lipid, and metabolite images.

Postdoctorate Researcher B, January 2016 - September 2017

• 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 implemented a machine learning approach to create a predictive model of relevant versus background signal to supersede thresholding techniques that are inherently user biased and not generalizable.
• 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 and widely applicable neural network.
• 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.
• Prototyped and tested image segmentation and image fusion methods using MATLAB and Python.
• Prepared written quarterly progress reports for internal and external funding sources to document milestones achieved and progress towards future milestones.

Graduate Research Assistant, October 2009 - December 2015

• Research assistant under Nicholas Winograd in the field of time-of-flight secondary ion mass spectrometry (ToF-SIMS). Imaging applications of ToF-SIMS focus on biologically relevant systems, including cellular systems.
• Novel application of image fusion to SIMS data to improve the visual quality of chemical images. Multiple sources of higher resolution information were explored: secondary electron microscopy (SEM) imaging, dual primary ion beam SIMS experiments, and optical microscopy. This approach highlights an approach of multiple analytical methods to obtain more correlative information of the analyte.
• Used image fusion to help determine localization of hydrocarbon rich oil bodies within algal cell colonies of potential biofuel candidates.
• Designed, created, and utilized ImagingSIMS, an open-source application written in C# for loading, analyzing, and rendering SIMS data sets as 2D images and 3D visualizations, including ray-casting and isosurfacing with DirectX.
• Utilized principal component analysis (PCA) a multivariate analysis (MVA) technique to extract relevant information from chemical images.
• Frequently collaborated with UK instrument vendor (Ionoptika) and surface science and chemometric expert at University of Manchester.
• Troubleshooted, maintained, and repaired both hardware and software issues with ToF-SIMS instruments.

Undergraduate Research Assistant, January 2008 - January 2009

• Synthesis of core-shell nanoparticles using various reaction conditions to change physical and chemical properties of products.
• Trained on UV-Vis spectrometer to detect presence of nanoparticles before, during and after reactions.
• Measure nanoparticle size and size distribution from transmission electron microscopy (TEM) images.