Allison Post, PhD

Dr. Allison Post is a biomedical engineer who is passionate about improving patient care and outcomes through cardiovascular device innovation. Show full bio

Allison Post, Ph.D. is a Biomedical Engineer at the Texas Heart Institute. Dr. Post is working with both cardiologists and engineers to revolutionize procedures and patient care through medical device innovation. She is also an entrepreneur and early business development advisor to early-stage start-ups, including those that spin-out from the Texas Heart Institute. After gaining experience in both medical device design and materials engineering through her Master’s and Doctoral programs, Dr. Post was approached by Houston entrepreneur and cardiologist electrophysiologist Dr. Mehdi Razavi to join his team at the Texas Heart Insitute. There, Dr. Post strives to guide medical technology forward and believes deeply in the collaborative nature of innovation within the Houston ecosystem. She is now the Manager of Innovation Partnerships and aims to guide companies both into and out of THI to help achieve the highest potential for new and exciting technologies to reach patients and physicians.

See Publications

Texas Heart Institute Positions


  • Undergraduate:

    Rice University (BS Bioengineering)

  • Graduate:

    University of Houston (MS Biomedical Engineering)

  • Postgraduate:

    Texas A&M University (PhD Biomedical Engineering)


Elgalad, A., Hanafy, A. E., Moctezuma-Ramirez, A. et al. (2023). Use of ethanol injections to create a complete atrioventricular block in a rat model. Surgeries 4, 188–195.
Zhang, Y., Banta, A., Fu, Y. et al. (2022). RT-RCG: Neural network and accelerator search towards effective and real-time ECG reconstruction from intracardiac electrograms. J Emerg Technol Comput Syst 18, 1–25.
Toloczko, A., Buchan, S., John, M. et al. (2022). Insurance lesions: Does a second lesion make a difference? J Cardiovasc Electrophysiol.
Hellar, J., Cosentino, R., John, M. et al. (2022). Manifold approximating graph interpolation of cardiac local activation time. IEEE Trans Biomed Eng PP.
John, M. M., Banta, A., Post, A. et al. (2022). Artificial intelligence and machine learning in cardiac electrophysiology. Tex Heart Inst J 49, e217576.
Hellar, J., Cosentino, R., John, M. M. et al. (2021). Graph-based interpolation of local activation time on the cardiac surface. 2021 55th Asilomar Conference on Signals, Systems, and Computers, 274–278.
Post, A. D., Buchan, S., John, M. et al. (2021). Reconstituting electrical conduction in soft tissue: the path to replace the ablationist. Europace, euab187.
Buchan, S., Kar, R., John, M. et al. (2021). Electrical stimulation for low-energy termination of cardiac arrhythmias: A review. Cardiovasc Drugs Ther.
Banta, A., Cosentino, R., John, M. M. et al. (2021). A novel convolutional neural network for reconstructing surface electrocardiograms from intracardiac electrograms and vice versa. Artif Intell Med 118, 102135.
Kar, R., Post, A., John, M. et al. (2021). An initial ex vivo evaluation of temperature profile and thermal injury formation on the epiesophageal surface during radiofrequency ablation. J Cardiovasc Electrophysiol 32, 704–712.

Recent News

2023 Student Scholar Summer Program

Applications are now being accepted for the 2023 Student Scholar Summer Program at The Texas Heart Institute. Applicants must be...

The Heart Beat: Liquid Wires to Facilitate Lifesaving Treatments

As part of The Heart Beat series of interviews with Dr. Mehdi Razavi and his team, recent graduate of the Rice...

Do “Insurance Lesions” Make Radiofrequency Ablation More Effective?

There is a common notion among electrophysiologists who perform RA that ablating an area more than once during the RA...