Science Engine is harnessing massive AI, including a custom Copilot with tailored-specific LLMs and GPT integration, solving the research and development (R&D) equation in industries that are anchored in hard sciences, including biopharma, chemicals, materials, alternative energy and decarbonization.
Despite advances, system behavior in these domains cannot be completely described by equations of physics or chemistry, though these equations remain important. Similarly, it is not practical to completely instrument and observe the entire dynamics of what goes on inside a human body or happens inside a bioreactor, and yet the data that does happen to be available must be fully taken into account.
I was the first design team member hired back in 2018, when there was only 12 people total on the team. The team was made up of a handful of data scientists and developers. Over the course of a couple years, myself and my manager built out the design and ux research team that consisted of 20+ full-time employees and contractors. The total org grew to 150+ during that time as well.
Over the course of 5+ years, I've worked as both a manager and an IC -- delivering end-to-end product features as well as delivered VP-level presentations and demos. I not only have to come up with different solutions for various feature requests, but I partner with the engineering team to come up with specs for each feature. I wear a lot of different hats to say the least. With all that, I also make sure I can mentor our senior and mid-level designers as best I can to make sure they get the most our of their careers.