Hey everyone,
I’m a 3rd-year chemical engineering student with a data science minor, and this has been on my mind lately.We learn tons of theory, correlations, and models in ChemE, and on the other side there’s ML, stats, and data-driven approaches. I’m curious how these two *really* meet in practice.
If you’re a ChemE student, researcher, or working engineer:
Are you applying data science anywhere already? Or do you have ideas you think *should* be used but aren’t yet?
If you’re from the data science side working with process, energy, pharma, materials, etc.:
What problems actually benefit from data-driven methods in industry? more like real thoughts, use cases, half-baked ideas, or experiences from the field. Would love to hear how people are thinking about this.