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Biology vs. CS : The Tale of Two Siblings

 Sometimes I feel like biology is the “Sharma ji ka beta” of science. You know the kid who does everything right, shows up when it matters most, but still gets questioned, doubted, or quietly sidelined.

Think back to the times where the mankind faced the most difficult times. Biology gave us rapid diagnostics, and the entire molecular understanding of how the bodyworks. It has given us therapies for cancer, insights into the brain, tools to edit genes. In short, biology has repeatedly proven its worth, often in life-saving ways. Yet somehow, it doesn’t always get the recognition or attention it deserves.

Computer science, on the other hand, feels like the favorite child. It gets the limelight, the funding, the hype. Every new breakthrough in AI or app development becomes a headline. People want to study it, invest in it, and call it “the future.” And to be fair it is dazzling. Algorithms, machine learning, and large-scale computing have changed the way we live.

But here’s the truth: biology and computer science aren’t competitors. They’re siblings. One is the quiet, dependable worker that makes sure the world doesn’t collapse. The other is the charismatic performer who captures the crowd’s imagination. When they work together, we get magic: AlphaFold predicting protein structures, AI accelerating drug discovery, and mRNA platforms scaling up at unprecedented speed.

The future of science isn’t about choosing one child over the other. It’s about recognizing that progress happens when both shine on the same stage. Biology brings the questions of life, health, and complexity. Computer science brings the tools to make sense of that complexity at scale.

Maybe it’s time we stop asking biology to “prove itself” again and again, and instead celebrate it with the same excitement we shower on computer science. Because in the end, the breakthroughs that change the world usually happen when the quiet sibling and the flashy one finally team up.

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