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Denise Harbert, MS, BA
Statistician/Mathematician



Denise (in red jacket) accepts certificate of appreciation from (Left to Right) Secretary of Labor Elaine Chao, Deputy Secretary Cameron Findlay, and Regional Administrator Nancy Chen.

 

Five Lessons From Life

1. Perseverance
I started my SET career by nearly flunking fifth grade math. Fortunately, my father was very good in math and tutored me until it eventually became my best subject. Although I hated every minute of it, I am now incredibly grateful that I had someone in my life who refused to allow me to quit. Without his help and his flat out insistence that I was going to pass math one way or another, I might never have discovered how naturally gifted I am at it. I was struggling to get over my first "hump", which was learning the multiplication tables. Once I got past it, math started to "click" in my head. It then seemed very interesting to me. I eventually struggled through several other "humps" in college and graduate math classes, but I did not allow them to stop me. I had brief moments of insecurity when I thought maybe I had reached my limit in math, but I always reminded myself of that first failing experience with my father. I attacked every difficult class with a determination to learn it and a conviction that I could do it if I tried hard enough. I studied twice as hard, reviewed the book and my lecture notes multiple times, and repeatedly met with the teacher. Every time I had to put in that much work to learn a math topic, I ended up getting the highest grade in the class and the topic ended up being among my favorites. I now believe that learning math is like putting together the pieces of a giant puzzle. Each piece affects the other, so there will inevitably be parts of the puzzle that will be hard to figure out. The struggle of figuring it out is part of the excitement, and finally succeeding after a lot of hard work is deeply satisfying and highly rewarding.

2. Flexibility
I never had a detailed career plan. My career decisions were all made step-by-step as I tried things out and decided whether I liked them. If I liked something, I continued to pursue it. If I didn't, I'd change direction and try something different. Interestingly, I always knew more about what I didn't want to do, as opposed to what I did want to do. When I was in high school, I could have listed a thousand things I didn't want, but I only knew three things about what I did want:
a. I wanted a career.
b. I wanted my career to have something to do with math.
c. I wanted to make enough money to support myself, to live comfortably without having to constantly worry about bills, and to be able to afford a few expensive purchases (maybe not immediately, but if I saved for them).

3. Passion
By the middle of my Sophomore year in college, I had decided to double major in math and statistics. What is the difference between math and statistics? Math always has an exact answer and gets more theoretical and abstract the higher you go. After calculus and linear algebra, math courses become mostly theoretical without numbers. My passion was manipulating the numbers and using them to solve problems, not proving the theory of why math works the way it does. On the other hand, statistics is a kind of applied math that deals with finding patterns in data (numbers), explaining the patterns with an equation, and using that equation to draw conclusions about the data or predict how the data might change in the future. Statistical modeling has no right or wrong answer and is not an exact science. Statistics deals with the best answer or the most likely answer. Basically, math is black and white, while statistics deals with the gray in between.
(See my entries in the March 12, 2002 Daily Digest at
http://www.uic.edu/orgs/gem-set/march.htm for a more thorough explanation.)

4. Long Range Goals vs. Short Term Tactics
At the beginning of my Junior year in college, I accepted a job in the math department as a student teacher for a new calculus honors program. After almost a year of teaching calculus to college Freshman, I decided I wanted to teach at a university, which requires a Ph.D.. I had already learned that math was entirely theoretical at the Ph.D. level and I wasn't interested in theory. I was interested in applied math, so I decided to pursue a Ph.D. in statistics.

At the end of my Junior year, I started asking my statistics professors what things other than a Ph.D. should be on my resume to make me a good candidate for a job as a university statistics professor. Most of them indicated that there were two main ways to proceed: take an academic route by publishing academic papers during and after my Ph.D., or take an industry route by working for a company to get applied data analysis experience before completing a Ph.D.. I was struggling to pay my tuition and other bills, so I ruled out the possibility of publishing without a paycheck and chose the industry route. I then asked what I needed to get a good industry job in statistics and was told that a Master's degree would be best.

I finished my Master's degree in statistics, then searched for jobs on the internet using "statistics" as a keyword. I eventually took a job analyzing data for a consulting firm that specialized in sales and marketing for pharmaceutical companies. While there, I learned how to write computer programs in a widely used data analysis and statistical software language called SAS. I also worked in a company that provided health care information to hospitals and spent two years working as the statistician for the GEM-SET program. Now, I am at another crossroads and am uncertain where I will end up next. Although I am not interested in pursuing a Ph.D. at this point in my life, it is still in the back of my mind as a long term goal that I will want to achieve someday. (I went to college with a grandmother who was pursuing her Ph.D., so I know it's never too late to do it!) In the short term, I am looking for a new path in my SET career and hope to find a direction that interests me.

5. My advice to teenagers
If someone had told me when I was in high school that this is the path I would take in life, I probably would have laughed. The best advice I can give to today's teenagers is:

* Pursue what you're passionate about, even if you're not sure yet how to make a living at it. If you love what you are doing and ask enough questions of experts in that field, you will eventually find a way to support yourself doing it.

* Work hard and don't quit just because something becomes difficult or you encounter a roadblock.

* Stay open to new possibilities and be willing to change your direction if you find out your chosen path isn't working for you.

* Keep one eye on where you are now and one on where you want to be in the future. Changing directions is good, as long as your new direction doesn't prevent you from setting a long term goal or achieving a lifelong dream.

* Listen to that little voice in your head that tells you what is right and wrong for you. Do not give in to pressure from others, regardless of whether that pressure is coming from friends, teachers, family, or strangers. Don't waste your life doing something you hate or are apathetic about just because someone else wants you to. If you follow your gut instincts and pursue what you love doing, you will have an amazing life that others will respect, even if they don't agree with your path.


If I had not done those things, I would not be half as happy or as successful as I am today. I am sure that there will be even more twists and turns for me before retirement, but for now I am very happy with my accomplishments and I am looking forward to a new adventure...


Education:
B.A. Honors at the University of Wisconsin-Madison in math, statistics (honors), and French (triple major)
M.S. at the University of Minnesota-Twin Cities in statistics (graduate fellow), with a double minor in French and psychology

Previous Career positions:
Senior Data Analyst for a U.S. company specializing in providing health care information to hospitals
Project Coordinator at the University of Illinois at Chicago's Center for Research on Women and Gender
Operations Research Consultant for a global consulting firm, analyzing sales data for pharmaceutical companies