Vidul Goenka's work experience includes roles at various organizations. In 2018, they worked as an Industrial Trainee at Albert David Limited, where they gained experience in drug formulation, compaction, packaging, and quality control. They also interned at Anthem Biosciences Private Limited, assisting with sample processing and preparation for mass spectrometry.
In 2019, Vidul worked as a Researcher at Vellore Institute of Technology, focusing on developing a bone regenerative cement using natural polymer and calcium phosphate. They successfully formulated a unique bone cement with mechanical properties similar to cortical bone.
In 2020, Vidul served as an Assistant Manager at Viya Enterprise, responsible for managing stock inventory and implementing an improved invoice system. They also collaborated with the company's founder to increase manufacturing output and expand inventory capacity.
In 2021, Vidul worked as a Customer Experience Executive at Anveshan, where they resolved customer issues and secured subscriptions to the company's loyalty program, retaining customers for subsequent purchases.
Later in 2021, Vidul became a Graduate Student Research Assistant at Imperial College London, conducting research on 3D printing a conductive hydrogel for regenerative applications on infarcted heart patches. They synthesized and characterized monomers with desired functional groups, optimizing yield and purity.
Currently, Vidul is a Trainee Research Assistant at bit.bio, where they contribute to ongoing research projects.
Vidul Goenka completed their Bachelor of Technology (B.Tech.) degree in Biotechnology from Vellore Institute of Technology between 2016 and 2020. After that, they pursued a Postgraduate Diploma in Business Analytics from the Indian Institute of Management, Indore from 2020 to 2021. In 2021, Vidul Goenka enrolled at Imperial College London, where they are currently pursuing a Master of Science (MS) degree in Biomedical/Medical Engineering. Alongside their formal education, they also obtained a certification in Statistical Analysis with R for Public Health from Coursera in February 2021.
December, 2022 - present
October, 2022