Imperial College London


Faculty of EngineeringDepartment of Bioengineering

Senior Lecturer



+44 (0)20 7594 1055a.foust Website CV




RSM 4.05Royal School of MinesSouth Kensington Campus





The ability to manipulate and track neuronal communication is essential to understanding the mechanisms underlying our sensations, perceptions, thoughts, emotions and actions. With a growing toolbox of optical dyes, genetic sensors and actuators, Neuroscience has made science fiction-scale progress toward realizing this important prerequisite for neural circuit reverse engineering. A parallel revolution in photonics research is taking shape to exploit the full potential of photo-molecular tools for brain circuit interrogation. My goal is to engineer bridges between recent optical technology and Neurophysiologists endeavoring to close the loop between theory and experimentation.



Foust A, 2023, Voltage-sensitive optical probes for measuring cell membrane potentials: An update and applications to ‘non-excitable’ cells, Bioelectricity, ISSN:2576-3105

Verinaz-Jadan H, Howe CL, Song P, et al., 2023, Physics-Based Deep Learning for Imaging Neuronal Activity via Two-Photon and Light Field Microscopy, Ieee Transactions on Computational Imaging, Vol:9, ISSN:2573-0436, Pages:565-580

Quicke P, Sun Y, Beykou M, et al., 2022, Voltage imaging reveals the dynamic electrical signatures of human breast cancer cells, Communications Biology, Vol:5, ISSN:2399-3642

Verinaz-Jadan H, Howe CL, Song P, et al., 2022, Physics-based Deep Learning for Imaging Neuronal Activity via Two-photon and Light Field Microscopy

Verinaz-Jadan H, Song P, Howe CL, et al., 2022, Shift-invariant-subspace discretization and volume reconstruction for light field microscopy, Ieee Transactions on Computational Imaging, Vol:8, ISSN:2573-0436, Pages:286-301

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