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Dr. Quintanilla-Leo obtained her Ph.D. in Medical Science from the University of Barcelona, Spain in 2017. Her background is in translational cancer research, and she has experience in molecular biology and several optical microscopy techniques, including FISH and spatial transcriptomics. Dr. Quintanilla-Leo joined the CCR High-Throughput Imaging Facility in October 2021, where she leads the biology, chemistry, and imaging efforts for HiTIF’s pooled HCI platform. She has implemented and optimized an in situ sequencing (ISS)-based pooled HCI assay and actively supports collaborative pooled HCI projects with CCR investigators.

Dr. Keikhosravi received his PhD in Biomedical Engineering/Biophotonics with a minor in electrical engineering from University of Wisconsin-Madison. He has experience in developing optical microscopy techniques and applying image/signal processing and Machine/Deep learning algorithms to understand sub-cellular dynamics of genomic and transcriptomic organization in cells and tissue from high-throughput microscopy data.

As an Imaging Bioinformatics (IB) expert, he develops custom open-source image analysis pipelines for arrayed HCI cell-based assays requiring subcellular object segmentation and tracking, deep learning, and spatial statistics, both for images generated at HiTIF and in other CCR Imaging Cores.

Dr. Laurent Ozbun received his Ph.D. in Molecular and Cellular Immunology from The University of Southern California, Los Angeles, CA in 1997. He has experience in molecular and cellular biology, and with automated liquid handling systems and techniques. Dr. Ozbun joined HiTIF in May 2012.

He oversees the day-to-day maintenance of HiTIF instruments, the management and reformatting of CRISPR knockout (CRISPR-KO) and RNAi synthetic arrayed oligo libraries for arrayed HCI, the optimization of RNA-oligo transfections for users, and the optimization of semi-automated immunofluorescence (IF) and DNA/RNA FISH staining protocols on the Facility’s automated liquid handlers. He also manages ordering and service-contract administration for HiTIF.

Dr. Sagar received his postdoctoral training at NIBIB, focusing on the development of spectral imaging techniques using photo-switchable proteins. He earned his PhD in Biomedical Engineering from the University of Wisconsin-Madison in 2019, where he conducted research on optical and computational methods to enhance fluorescence imaging for studying cellular microenvironments.

Prior to that, he worked as a senior software engineer at Samsung R&D from 2011 to 2013, specializing in the development of on-chip image processing software. Dr. Sagar joined HiTIF in 2023. As an Imaging Bioinformatics (IB) expert, he develops custom open-source image and ISS bioinformatics pipelines for pooled HCI assays run at HiTIF and supports collaborators with deep learning-based image analysis for other CCR Imaging Cores. His areas of expertise encompass high-throughput image processing, confocal/multiphoton microscopy, and machine learning.

Dr. Gil Kanfer is a data scientist specializing in machine learning, computer vision, and genetic perturbation data analysis. In 2016, he earned his PhD in Biochemistry from the Swiss Federal Institute of Technology (ETH) in Zurich, Switzerland. From 2016 to 2024, Dr. Kanfer was a Post-doctoral fellow at NINDS, where he developed a novel pooled screening platform that integrates machine learning algorithms with automated high-speed imaging systems for functional genomic discoveries.

Since joining HiTIF in 2024 as the Facility’s Spatial Bioinformatics (SB) expert, Dr. Kanfer develops open-source analysis workflows for spatial transcriptomics, proteomics, and multimodal datasets, and performs single-cell RNAseq reference integration for cell typing and statistical modeling of tissue organization for CCR collaborators with active translational/clinical research programs.