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About

Jaslin Kalra is a researcher at the intersection of cellular biology and artificial intelligence, whose work has significantly advanced our understanding of human cell signaling and neurodegenerative disease. Her most impactful contribution comes from her involvement with the NIH's Library of Integrated Network-Based Cellular Signatures (LINCS) program, a landmark 2017 paper with 447 citations that systematically cataloged how human cells respond to perturbations, providing a foundational resource for the biomedical community. More recently, Kalra has pioneered the application of deep learning to cell biology, developing "superhuman" neural networks for cell death detection. In her 2021 study, she created biomarker-optimized AI models that outperform human annotators in identifying cellular events from longitudinal live microscopy of neurons, a critical capability for studying neurodegenerative diseases like Alzheimer's and Parkinson's. This work addresses the bottleneck of time-intensive manual annotation in high-throughput robotic microscopy, enabling researchers to detect transient cellular events with unprecedented statistical power. Kalra's research exemplifies how computational methods can transform biological discovery, bridging large-scale systems biology with precision AI-driven analysis to tackle fundamental questions in human health and disease.