Albert Lee Interview

What first drew you toward engineering and science?

In high school I enjoyed math, physics, and chemistry, so engineering felt like a natural direction. In college, a fluid dynamics class changed everything. Seeing simple equations accurately describe how fluid moves through a pipe showed me that mathematics could directly explain and predict real physical behavior. That practical power of math applied to real systems sold me on engineering.

Why did you choose engineering over other STEM fields?

I never seriously considered pure math or physics. I briefly thought about chemistry, but once I saw how engineering combined math, physics, and chemistry into solving real problems, I was hooked. Until then, those subjects had been taught separately. Realizing they interconnected was a turning point.

What did you learn from working at Detroit Diesel?

That job taught me how different the real world is from school. In school, you take time to understand everything. In industry, the priority is getting something working on a deadline. Perfect understanding is secondary to delivering results. That experience gave me a lasting respect for execution and practical constraints.

Why did you enter government work?

It was largely circumstantial. Family and location shaped the decision more than ambition. Government was not a lifelong goal, but once there, I found myself surrounded by top experts and meaningful scientific problems. It became a productive and intellectually rich environment.

How do you see AI affecting your field?

I see AI as a tool that speeds up progress, not as a threat. It reminds me of how calculators replaced manual computation teams. Those jobs disappeared, but engineering advanced faster. AI will do the same. It allows people with good ideas to test and explore them far more quickly. I don’t feel threatened by it.

How do you approach solving unfamiliar problems?

When I encounter problems beyond my expertise, I go to people who know more than I do. In my work, especially at NIH, I had access to world experts. A few conversations could quickly shape a strategy. Knowing who to call and being willing to ask for help is critical.

What is your advice to young engineers?

Work hard. Be meticulous. Pay attention to detail. Under-promise and over-deliver. Anticipate questions before they are asked. Be over-prepared in every presentation and interaction. These habits separate strong engineers from average ones.

If you could do it again, would you change anything?

I have no regrets. My career was not rigidly planned. Family events, including the early death of my father and the financial stress that followed, shaped my priorities. Family became my highest value. Every major career decision since then has been made with that principle first.

How has your definition of success changed?

Early on, I imagined making a lot of money in biotech, driving a sports car, and living that life. What I discovered is that intellectual satisfaction matters more to me than wealth. As long as I was doing cutting-edge science and earning enough to live comfortably, I was happy.

What is the best advice you've ever recieved?

Be over-prepared. Never walk into a scientific or professional interaction without anticipating questions and having answers ready. That discipline became a major advantage throughout my career.

What was the most difficult decision that turned out to help you down the road?

I turned down two major opportunities. One was a move to Wall Street quant finance after my PhD. It would have paid well, but my wife and I agreed the lifestyle wasn’t right. Later, I declined applying for a very senior government position because my family needed my attention at home. Both choices limited prestige and income, but aligned with my priorities.

Why did you pursue a master’s and PhD?

Graduate school happened by accident. In my final semester at Berkeley, I took a combustion class simply to fulfill a requirement. I loved it. I joined the professor’s research group, became fascinated by combining high-level math with physical science, and was encouraged to pursue graduate study. Financial considerations never entered the decision. The science itself was the motivation.

What advice would you give to younger students or people just entering the workforce?

Be meticulous. Work harder than the next person. Pay attention to detail. Under-promise and over-deliver. Don’t complain. Consistency and discipline matter more than talent alone.