The security alert scrolled across Butler senior Ryan Tsai’s computer screen on the first day of his summer internship as an actuary at Indiana Farm Bureau Insurance (IFBI):
“Error: User is not authorized to access database.”
The company’s system was disabled. Any time an IFBI employee tried to log in, they’d be met with an error message.
Oh, no, he panicked. They’re going to fire me.
Intern mishaps are typical on the first day. Some forget the creamer in the coffee; some jam the copier.
Tsai accidentally caused an all-day security shutdown.
“I was playing around in the security system, trying to figure out what data was stored in it,” the 22-year-old Actuarial Science major says. “I ran a command to return the names of everything in the system, and the system flagged it as risky. It was definitely my fault.”
The puzzling part? Tsai’s supervisor had given him read-only access to the system, so he theoretically shouldn’t have been able to mess anything up.
He outsmarted the security system.
The company was able to fix his mistake—several hours later, at the end of the day.
It was a harmless error, Eric Skirvin, Tsai’s supervisor, says, but it clued IFBI staff in that Tsai knew more than the average intern.
“After that we knew that he was definitely savvy around a computer,” he says.
An Unstoppable Problem Solver
Long division was a Stonehenge-level enigma, the numbers swirling around in Tsai’s brain like a puzzle missing a crucial piece.
He came home from kindergarten in tears because he couldn’t intuit the second-grade math his two-years-older sister, Heather, was doing.
“I was crying because I couldn’t figure out long division,” he says. “I thought it was the hardest thing in the world.”
But he was hooked. Math became his addiction, life a series of problems to be solved.
When Tsai took Butler’s Introduction to Computer Science course his freshman year, he came across a challenge that both confused and consumed him: artificial intelligence (AI). He thought his final AI project needed to be perfect.
Just one problem: That isn’t currently possible.
He stayed up night after night trying to perfect his work. And his professor told him he came close.
“But I didn’t need to work that hard,” he says. “I got the assignment wrong—successful AI just means it’s able to work and make any move. But I interpreted that as perfect.”
Coding for Fun
Tsai settled on his major, Actuarial Science, because he found it challenging. No kidding: Nobel Prize-winning economist Milton Friedman once called actuarial exams “just the hardest examinations in the world.”
Actuaries, who work in the insurance industry, perform statistical evaluations of the risks involved in hypothetical scenarios and then advise clients how to reduce financial losses.
Tsai wades through mountains of probabilities amid tight deadlines. But he thrives on pressure, which is more coffee than Kryptonite.
The same goes for coding—he took Butler’s “extremely difficult” Computer Science capstone course for fun, putting himself through long nights of frustration and failure.
He credits Butler professor Dr. Chris Wilson’s Actuarial Mathematics and Financial Derivatives courses and the Actuarial Science department for preparing him with the lingo, Excel and Access training, and programming experience he needed to blow the IFBI folks out of the water last summer.
But he’s made an equally strong impression on them. Actuarial Science professor Dr. Mary Krohn, who met Tsai as a junior, lauds both his work ethic—and his selflessness.
“He made an amazing computer program that would randomize the questions [from my Financial Mathematics for Actuarial Science class] and correlate the solutions,” she says. “Then he selflessly made these files available to students in the class.”
But Tsai isn’t just an IT whiz—Krohn says he also has the baking skills of Bobby Flay.
He whipped up homemade macaroons one holiday to share with the Actuarial Science department. After the department administrator raved about their tastiness, he made a second batch just for her—and now brings them in regularly, Krohn says.
But his cookie baking wasn’t going to give him the edge in the biggest coding competition of his life.
The Big Test
Tsai had always been a shy person, more inclined to absorb knowledge like a sponge than expel it like a T-shirt cannon.
So when he signed up for IFBI’s 24-hour Hackathon last summer—the only one of 25 interns to do so—he was decidedly out of his element.
“I was really worried I was going to be useless, because I didn’t know too much about Computer Science,” he says.
The goal of the Hackathon was for teams of five coders to devise an IT solution to a problem a business was having as quickly, efficiently, and ingeniously as possible.
Their first task? Tsai’s team was trying to program a smart outlet to determine the wattage used by a washing machine, but something was out of whack. The machine was drawing more power than it was supposed to, and was shaking and vibrating like the Gravitron. They had to find a way to shut it off.
Then a house burned down, and Tsai’s team had to determine what caused the fire.
‘Basically, something awful happens, and you have to figure out how to stop it—and maybe even prevent it,” Tsai says.
The challenges continued for 24 hours, stretching from Friday into Saturday, one problem after another.
“It was both the best and worst time of my life,” Tsai says. “I was miserable in the moment, but in hindsight, I realized how much I learned.”
At the end of the event, each team presented their ideas to a panel of judges, attempting to convince them that their “hacks” were the best solutions. Ingenuity, Tsai says, won the day—using drones to provide an aerial view of fires, for instance.
“But it’s also like gymnastics, so you earn more points if you solve a more difficult problem,” he says.
Tsai’s team didn’t win, but Skirvin, his supervisor, has no doubt Tsai held his own.
Tsai’s assessment is more humble.
“I’m just proud I wasn’t useless,” he says.
Far from it.
“He has very strong programming skills,” Skirvin says. “[During his internship], he took full control and gave us a very impressive set of outputs.”
Skrivin says Tsai was invaluable to the IFBI team. He reviewed the insurance coverage policies of companies, looking for potential issues, and overhauled IFBI’s Reinsurance Billing Process using Excel, Access, Java, and SQL.
Tsai couldn’t believe his luck: He’d scored his perfect internship on the first try.
“It wasn’t a set ‘Here’s what we want you to do; can you do it for us?’” Tsai says. “I had a lot of freedom to find problems and attack them using solutions I came up with on my own.”
“I’d Return in a Heartbeat”
While he says he’d be honored to be back at IFBI, it turns out Tsai may be strolling the Butler halls a little while longer.
“I’m thinking about coming back to Butler for my MBA [Master’s of Business Administration],” he says. “But I’m not sure my mom’s too happy about that—she wants me to have a job.”
But if IFBI comes calling, Tsai says he’d return in a heartbeat.
“The best compliment my boss gave me last summer was that he’d hire me if he had the space,” he says.