Sanyukta Adap

• Primarily focused on developing, training, optimizing, and evaluating deep learning models as well as creating image processing pipelines for various biomedical tasks using multiple data modalities. • Designing and optimizing scalable pipelines for data pre-processing, data analysis, and feature extraction on high-performance computing (HPC) clusters. • Preparing manuscripts, technical reports, and scientific presentations to disseminate research findings and project outcomes. • Worked closely with researchers and clinicians to gain project and domain-specific insights.

• Develop R scripts to curate and wrangle de-identified REDCap datasets into a dbGaP format • Collaborate with a multidisciplinary team to ensure data quality and accuracy

• Primarily focused on finding functional similarities in TNK cells involved in colorectal cancer and lung cancer. • Worked on analyzing scRNA-seq data that was inferred using statistical nHDP model.

• Worked on building an efficient pipeline to fetch knee arthroplasty-related tweets for sentiment analysis. • Coordinated effort for manual annotation of knee joint area localization and segmentation using ITK-SNAP and Labelimg.

Inputting and organizing data, downloading and organizing research articles, transcription of research and educational audio recordings, inputting research articles into the reference manager system, customer service, filing, printing, copying, and front desk receptionist tasks

Worked on the cutting edge of providing a well aligned service by converting the patient’s referral faxes into appointments. This system allows minimum operational inefficiencies and helps maintain a record of the referrals in a structured manner by following all HIPAA guidelines for handling PHI.

Searching for natural plant products for their Aromatase Inhibitor Activity using in silico methods.

Coursework: Python programming, Practical Statistics using R, Database Design and Big Data Analytics, Data Science, Quality and Performance Improvement, Data Analytics, Visualization, and Machine Learning.

Coursework: Human Anatomy & Physiology, Computers, Mathematics & Biostatistics, Bioinformatics, Health Care Law & Management, Disease Biology, Molecular Diagnostics, Drug Designing, Computational Biology, Clinical Trials