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What happens to glia cells in Alzheimer's disease and traumatic brain injury?
What happens to glia cells in Alzheimer's disease and traumatic brain injury?
Characterize cellular morphology, function, and metabolism in vitro and in vivo using cell culture and genetic knockout models.
Discover mechanisms and molecular targets in microglial dysfunction in the context of neurodegeneration and neuroinflammation.
Unbiased metabolic profiling of cells and tissues using state-of-the-art LC-MS to understand the role of lipids in neurodegeneration, injury, and development.
Testing immunomodulatory compounds and monitor response on the molecular, cellular, and behavior level.
What mechanisms contribute to immune cell dysfunction in the context of neurodegeneration and cancer?
What mechanisms contribute to immune cell dysfunction in the context of neurodegeneration and cancer?
Discover novel pathways and targets through unbiased metabolomic profiling of biological samples.
Develop in vitro and ex vivo screening platforms for immunomodulatory molecules (e.g. proteolysis targeting chimera - PROTAC).
Elucidate the regulatory pathways of proteins involved in lipid metabolism in immune cells (expression, degradation, post-transcriptional and post-translational modifications).
How can we modulate cellular function and microenvironment in health and disease?
How can we modulate cellular function and microenvironment in health and disease?
Design and develop drug candidates, chemical conjugates and probes.
Develop molecules to target specific cells, modify cells for enhancing, suppressing, modulating, imaging cellular microenvironments.
Modulate cell-cell interactions to enhance or suppress specific function, such as phagocytosis.
How can we automate drug discovery & development by incorporating artificial intelligence in analytical sciences?
How can we automate drug discovery & development by incorporating artificial intelligence in analytical sciences?
Develop tools for characterization and assay automation. (Automated labs cannot exist without automated characterization and measurements!!!)
Connect computational methods and laboratory equipment using a defined hierarchy of new agents and tools towards closed-loop active learning infrastructure.
Develop a data driven approach for the selection of assay formats and optimization of critical reagents for automated biologics ligand binding pharmacokinetic assay measurements (in collaboration with Merck & Co. Inc)
How can machine learning be used to “generate” new chemistry and biology?
How can machine learning be used to “generate” new chemistry and biology?
Develop computational infrastructure for biophysical modeling of protein-ligand interactions.
Develop data mining tools, standardized datasets, and storage frameworks to rapidly extract new features and benchmarking sets for drug repurposing.
Develop interpretable machine-learning based multicomponent reactions framework for designing new drugs scaffolds based on multicomponent reactions.
How can we improve mass spectrometry to better understand complex biological phenomena at high throughput?
How can we improve mass spectrometry to better understand complex biological phenomena at high throughput?
Single-cell omics MS imaging analyses
Developing MS multi-modal imaging-based techniques to clarify the occurrence, diagnosis, personalized treatment, and prognosis of disease
Optimize large-scale automated lipidomics workflow based on multiple reaction monitoring(MRM)-profiling and chemical conjugation methods
Develop online platforms to rapidly resolve unsaturated, isomeric lipid structures
Integrate AI-guided LLM-based informatics approach to identify unsaturation sites in lipids to reduce analysis time and streamline data interpretation
Develop single-cell lipidomics and associated AI and automation platform for high-throughput data collection and analysis
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