Anahita Kyani, PhD
About Anahita Kyani, PhD
Anahita Kyani, PhD, is the Director of Data Systems and Advanced Analytics at ONWARD, bringing over 20 years of experience in machine learning and data science across various industries. She has held significant roles at Abbott and Authentix, and has a strong academic background in computational chemistry.
Current Role at Onward
Anahita Kyani serves as the Director of Data Systems and Advanced Analytics at ONWARD. She has held this position since 2023, contributing her extensive knowledge and experience in data science to drive the company's analytics initiatives. In this role, she leads efforts to develop and implement advanced data systems that support organizational goals.
Previous Experience at Abbott
Prior to her current role, Anahita Kyani worked at Abbott for nearly three years. She began as the Lead Data Scientist from 2020 to 2022, where she focused on data-driven solutions in Plano, Texas. Following this, she served as Senior Manager of Data Science from 2022 to 2023, overseeing data science projects and teams.
Academic Background and Research
Anahita Kyani earned her Doctor of Philosophy (PhD) in Computational Chemistry from Sharif University of Technology, where she also completed her Master's degree in the same field. Her academic career includes roles such as a Visiting Researcher at TU Braunschweig and a Research Scientist at the University of Michigan, where she contributed to the Translational Oncology Program.
Expertise in Data Science
With over 20 years of experience in both academic and industry settings, Anahita Kyani specializes in Machine Learning applications for life sciences and business. She has expertise in leading data science teams and is skilled in various domains, including Deep Learning, Natural Language Processing, and Data Visualization. Her leadership approach emphasizes effective communication and team performance.
Professional Development and Skills
Anahita Kyani has developed a strong skill set in presenting complex concepts to diverse audiences. She leverages advanced mathematics and statistics to enhance understanding and decision-making. Additionally, she focuses on creating scalable products and workflows that improve process efficiency and accuracy in data-driven environments.