About

Apoorva Sikka is a highly skilled and experienced researcher in the field of medical imaging, AI, and machine learning. With a PhD in Computer Science and Engineering from the prestigious Indian Institute of Technology Ropar, Apoorva has a broad range of experience in applying statistical modelling and artificial intelligence techniques to address challenges in medical imaging. She is particularly interested in developing new deep learning-based algorithms to assist in medical image analysis and diagnostic decision-making. Apoorva is currently working as a Machine Learning Researcher at contextflow, where she is responsible for conducting research in machine learning and computer vision to develop innovative solutions for medical imaging. Prior to this, she worked as a Graduate Student Researcher at the Indian Institute of Technology, where she honed her skills in research and development. Throughout her career, Apoorva has demonstrated a strong passion for technology and innovation. She has a keen interest in a variety of topics, including machine learning, computer vision, medical image analysis, as well as running, working out, personal development, entrepreneurship, and coffee. Her diverse interests have helped her to develop a well-rounded skill set that is highly valued in the industry. Apoorva's technical expertise includes ML, AI, Python, Computer Vision, Deep Learning, Pytorch, Neural Networks, Adversarial Networks, CNN, GAN, ResNet, RNN, Image Processing, and test. With 2.78 years of relevant experience, she is an expert in her field and has a proven track record of delivering high-quality results. Apoorva is a dedicated and hardworking professional who is committed to advancing the field of medical imaging through innovative research and development.