Speech scientist at Carnegie Mellon University. Works on the science of profiling humans from their voice. This research represents a new area of voice forensics-biometrics. The human voice is a powerful bio-parametric indicator. It carries information that can be linked to the current (referring to the time of recording of the voice) physical, physiological, demographic, medical, environmental and myriad other bio-relevant characteristics of the speaker. This capacity of the human voice to dynamically encode a person's bio-parametric factors as they exist at the time of speaking allows voice to potentially be more effective for profiling humans than DNA or fingerprints are, since the latter do not reflect the signatures of the speaker's state and surroundings at the time of speaking. Driven by artificial intelligence, and insights into the human voice accumulated over decades of studies by researchers in multiple fields, research seeks to uncover extremely fine-level micro-signatures of a speaker's bio-relevant factors for profiling. The group has succeeded in recreating the human face from voice in-vacuo and is working towards the generation of the human physical form in 3D from voice alone. Both these aspects are not perfected yet and represent work in progress.