Joyeeta Mitra Mukherjee

Joyeeta Mitra Mukherjee has a diverse and extensive work experience spanning various industries and roles. Joyeeta Mitra is currently working as the Head of Product - AI Strategy at UNAR Labs, where they focus on reducing errors in the translation of information in graphs and charts for usability in the accessibility platform. In this role, they also identify and fine-tunes state-of-the-art algorithms for vision transformer models.

Prior to their current role, Joyeeta worked as a Senior Product Engineer at UNAR Labs, where they researched and developed a graphics interpreter to translate visual information in graphs and charts into semantic and spatial information for multi-sensory delivery in assistive devices for the visually-impaired. Joyeeta Mitra also managed machine learning projects to improve the detection accuracy of graphics components from uploaded documents.

Before joining UNAR Labs, Joyeeta served as a Principal Data Scientist at Aetna, a CVS Health Company. During their time there, they utilized their expertise in data science to contribute to the company's data-driven initiatives.

Joyeeta also has experience working at MathWorks as a Senior Technical Consultant. In this role, they worked with sales teams to develop opportunities in deep learning and led major engagements with customers in the manufacturing and bio-pharma industries. Joyeeta Mitra also collaborated with development teams to improve workflows in image labeling and processing, ground-truth labeling, and model interpretability.

Additionally, Joyeeta worked as a Technical Consultant at APN Health LLC, where they developed algorithms for a medical device used in image-guided interventional electrophysiology. Joyeeta Mitra worked on various aspects such as 3D visualization, cardiac chamber mapping, automated segmentation, and object tracking.

Earlier in their career, Joyeeta held academic positions at the University of Massachusetts Medical School and the University of Houston. At the University of Massachusetts Medical School, they served as a Research Assistant Professor of Radiology and conducted research on PET/SPECT/CT image processing, image reconstruction, and biomedical signal processing. Joyeeta Mitra also served as an Instructor of Radiology, focusing on data-driven motion estimation and analytical and iterative algorithms for SPECT fan-beam geometry.

At the University of Houston, Joyeeta worked as a Research Assistant and conducted research on developing an Automated Neonatal Seizure Detection system using EEG signals. Joyeeta Mitra utilized signal processing techniques and neural networks for denoising, artifact rejection, seizure pattern detection, and classification.

Joyeeta's early career includes an internship at the Indian Statistical Institute, where they worked on the analysis of functional MRI data using wavelet decomposition.

Overall, Joyeeta Mitra Mukherjee has a wealth of experience in product strategy, data science, technical consulting, and academic research, showcasing their expertise in various aspects of AI, deep learning, image processing, and biomedical signal analysis.

Joyeeta Mitra Mukherjee completed their Bachelor of Engineering (BE) in Electrical Engineering from Jadavpur University from 1998 to 2001. Joyeeta Mitra then went on to pursue a PhD in Electrical Engineering from the University of Houston from 2002 to 2006. In addition to their formal education, they obtained a certification in XCS224N - Natural Language Processing with Deep Learning from Stanford Online in May 2023.