NEW! We are currently looking for strong and motivated students (and/or remote interns) for a variety of biomedical data science projects. Please email at prasatsa@uc.edu or surya.prasath@cchmc.org. The partial list of current project topics and keywords are given below.

Topics & Keywords:

Image processing for various bio + medical imaging modalities with machine learning (ML) and deep learning (DL)

  • Biological image processing and analysis - denoising/deblurring/super-resolution/reconstructions/detection/segmentation/tracking - cells, membranes, tissues - multiplex data, multichannel data, high throughput microscopy, Cryo-EM, µCT, IHC, ISH, confocal, fluorescence, mass spec.

  • Medical signal/image processing and analysis - denoising/deblurring/super resolution/reconstructions/segmentation - MRI, US, CT, DEXA, PET/SPECT, Histology, DwMRI, fMRI, ECG, EEG.

AI models - CNN/GAN/LSTM/RNN/VAE/Transformers applied to biomedical informatics

  • Applications of GANs for bio + medical image processing

  • DL for video analysis/gait analysis/activity tracking

  • CNN/GAN for scRNAseq, ATAC-seq, computational biology problems

  • ML/DL based QC of single cell data - Solving open problems in single-cell analysis

  • Multi-modal integration (imaging+non-imaging) - latent representations - fusion (early/intermediate/late) techniques

  • DL for electronic health records (EHRs)/clinical/health Informatics/longitudinal clinical data - natural language processing (NLP) + associated imaging Data

Bridging different applied data science tools and domains applied to biomedical informatics

  • Sparse representations for imaging data

  • Topological data analysis (TDA) for biomedical imaging and text data

  • Convex/non-convex optimization

  • Manifold learning

  • Learning with limited/noisy-labels

Postdoctoral/Research Fellow Positions

The Prasath Lab is looking for qualified postdoctoral candidates. Potential applicants can enquire with Dr. Prasath. The applicant will be expected to provide a current CV, a brief research statement describing past work and current interests, and the contact details of at least three references.

Sorry, currently we do not have openings for Post Doctoral Fellowships within our lab, please check back at a later time/date. However, we work closely with a lot of labs at CCHMC, so please reach out to us to get connected to these great opportunities at CCHMC! For example, we have two exciting postdoctoral positions in NLP, Computer Vision with other collaborating labs - see e.g. Job Post - Apply to work collaboratively with our lab!

Graduate Student Positions - MS/MEng/PhD

University of Cincinnati Graduate students (regardless of the discipline of study) interested in rotating (typically 2-3 months/remote/in-person) or joining the lab should arrange a Zoom/Teams meeting with Dr. Prasath to discuss possible projects of interest. Outside graduate students interested in joining the lab please email Dr. Prasath and also check University of Cincinnati Graduate Programs in Biomedical Informatics and College of Engineering and Applied Science, UC.

Undergraduate Student Positions

Undergraduate students interested in pursuing projects in the lab should inquire with Dr. Prasath. Summer undergraduate research fellowships (SURF) are available for undergraduate students interested in our areas of research. Visit the University of Cincinnati SURF page to learn more. Our previous undergraduate research fellows have worked on cutting-edge AI for biomedical image processing problems and also have won awards at the UC annual undergraduate research forums.

High School Student Positions

High School students interested in pursuing projects in the lab should inquire with Dr. Prasath. You will be paired with Senior Graduate students to work and shadow our real-world data science projects. You will have ample opportunities to work on state-of-the-art AI models applied to biomedical informatics!

Prospective students please read the following before applying:

We are always looking for motivated and creative research associates, postdocs, graduate, undergraduate, and high-school students to join our research group. Due to our base at Cincinnati Children's, much of our research focuses on Pediatric Health: the use of AI, image processing, computer vision, machine learning with the goal of improving pediatric patient care, quality of life, and serving various other divisions - Radiology, Pathology, Microscopy Core, Neurology, Neurosurgery, Pulmonary, Health Informatics, Clinical Informatics, Emergency Medicine, Immunobiology, Human Genetics,...

As our research is intensively applied, you should expect to spend a significant amount of time coding, prototyping, and running empirical studies. This process is quite demanding and requires patience and perseverance. However, it is also quite rewarding to design systems that are actually used by pediatricians.

As with other labs, our funding situation varies, but is always a limiting factor on the size of any research group (including ours). Your best chances to joining the lab are to take classes in Machine Learning/Deep Learning (important), Image Processing (optional), Signal Processing (optional), and Computer Vision (optional). If you have a strong background in Mathematics, learning the above subjects are not mandatory and can be learned on the job.

If you are already a student at the University of Cincinnati, please free to email Dr. Prasath to introduce yourself and your research interests. Reading a couple of our recent publications will give you a leg up! If you are not yet a student at the University of Cincinnati, please go through the standard admission procedures and mention our lab as a possible destination - either at Electrical Engineering and Computer Science, CEAS or at Biomedical Informatics, University of Cincinnati. The admission committee does a good job at sharing the applications of prospective students with relevant faculty.

We want you!


We welcome applications at various levels - Summer Internships, Remote Internships for High School, Undergraduate, Graduate, and SURF (Summer Undergraduate Research Fellowship).

Are you interested in solving real-life problems?

Are you interested in image processing?

Are you interested in computer vision?

Are you interested in deep learning?

Are you bored of using lame synthetic benchmarks in AI ?

Are you fed-up with devising ML/DL/AI models to juice out 0.001% improvement over baseline on the toy MNIST, FMNIST type datasets ?

Do you want to work without traditional 9 to 5 day constraints?

Do you want to positively affect pediatric patients with data-driven insights?

Join us!