Suryansh completed his undergraduate degree in Biomedical Engineering from Shri. G.S. Institute of Technology and Science, Indore, M.P. India where he graduated with Bachelor of Technology (Honors). In 2021, he came to the United States for his master’s in biomedical engineering with focus area imaging and medical devices from Johns Hopkins University. During his master’s he worked on three different research projects. In his first project he developed a software to monitor adherence to immunosuppressive drug for adolescent and young adults undergone either kidney or liver transplant. In the second project he worked on enabling and verifying the interchangeability between mathematical model-based beamforming and deep learning-based beamforming of ultrasound images. In his third project, which was also his master’s thesis work, he published a thesis titled “Computational Analysis of 3D Cleared and Labeled Pancreatic Cancer Samples”, where he developed and utilized the image processing tools for quantification of invasion in three dimensional images of pancreatic ductal adenocarcinoma. At Einstein Suryansh is currently a Principal Staff Scientist in the department of pathology. He is working on developing machine learning and deep learning tools for digital pathology to evaluate and validate biomarkers.