Stanford GSB | Mr. Startup Founder
GMAT 700, GPA 3.12
Wharton | Mr. Fintech Entrepreneur
GMAT 710, GPA 3.04
Stanford GSB | Mr. Start-Up To F500
GMAT TBD, GPA 3.62
Wharton | Mr. Passion Projects
GMAT 730, GPA 3.15
Yale | Mr. Nonprofit Sustainability
GRE 326, GPA 3.56
Chicago Booth | Mr. Music Into Numbers
GMAT 730, GPA 3.8
Stanford GSB | Mr. Lost Trader
GMAT 760, GPA 3.93
Yale | Mr. Consulting Escapist
GMAT 760, GPA 3.2
Stanford GSB | Mr. FinTech
GMAT Not Taken Yet, GPA 3.5
INSEAD | Mr. Aerospace Manufacturer
GMAT 740, GPA 3.7
Yale | Ms. Business Start-Up
GRE 312, GPA 3.6
Harvard | Mr. Big Fish, Small Pond
GMAT 790, GPA 3.88
Yale | Mr. Army Infantry Officer
GMAT 730, GPA 2.83
Said Business School | Ms. Ordinary Applicant
GMAT 710, GPA 3.37
Harvard | Mr. M&A Post-Startup
GMAT 710, GPA 3.6
Harvard | Mr. Banking To Startup
GMAT 760, GPA 3.7
Wharton | Mr. Master’s To MBA
GMAT 760, GPA 3.4
USC Marshall | Mr. Versatile Entrepreneur
GMAT 710, GPA 3.3
Stanford GSB | Ms. Education Non-profit
GRE 330, GPA 3.0
Berkeley Haas | Mr. Real Estate Developer
GMAT 740, GPA 3.12
Stanford GSB | Mr. Failed Entrepreneur
GMAT 750, GPA 3.7
Stanford GSB | Mr. Immigrant Entrepreneur
GMAT 750, GPA 3.8
Cornell Johnson | Mr. Cornell Hopeful
GMAT Targeting 700+, GPA 2.5
Tuck | Mr. Crisis Line Counselor
GMAT 700, GPA 3.1
Stanford GSB | Mr. Digital Engineer
GMAT 700, GPA 2.7
Harvard | Mr. IB/PE To Fintech
GMAT 740, GPA 3.14
USC Marshall | Mr. Supply Chain Guru
GMAT GMAT Waiver, GPA 2.6

Nekrasz Teaches Students That Looks Can Be Deceiving

Frank Nekrasz, Jr., a tattooed iMSA professor wearing a biker vest.Frank Nekrasz, Jr. jokingly refers to himself as a “walking disruption.” He’s traded in the clean-cut, suit-and-tie look for a long goatee, sleeveless shirt, and biker vest that reveals multiple tattoos on each arm. He doesn’t look like anything you’d expect from an accountant. He admits he used to turn quite a few heads when he’d walk to the front of the room on the first day of class – but now he says his students in Fraud Examination (ACCY 518) have come to expect the unexpected.

“There are no surprises anymore. Everyone just knows me as Dr. Frank, and they know I don’t look like all their other professors,” said Nekrasz, who is also teaching a four-week course in the iMSA program for the first time this year – exposing his unique look to a whole new set of students unfamiliar with the eccentricity.

But that unique persona makes Nekrasz, who is also a certified fraud examiner, good at his job. He’s different. And he trains his students to think differently. He teaches them to challenge assumptions, which can be a valuable quality to have when you’re sniffing out crime.

“I teach the dark side,” he said. “As a fraud guy, my perspective is that most people are bad unless they can show me they’re not. Being cynical makes you aware and alert and ultimately more prepared to catch criminals.”

Nekrasz admits crime hasn’t changed all that much over the years. Employees are still stealing from their company. Management makes promises they can’t keep, and then they try to “cook the books” toward the end of a fiscal period to cover their tracks. What has changed are the tools forensic accountants use to catch the bad guys. Disruptive forces like big data and artificial intelligence allow fraud examiners to analyze full data sets instead of just sampling certain transactions, as they’ve done for many decades. According to the Association for Certified Fraud Examiners (ACFE), 64% of organizations say the increased volume of transactions they can review with data analytics will be very beneficial to their anti-fraud programs.

Nekrasz knows that, soon, sophisticated criminals will adjust back, developing techniques to outsmart these big data and AI tools. The ACFE reported that occupational fraud cost businesses more than $7 billion in 2018 alone – and it could get much worse. Looking into his crystal ball, Nekrasz sees a future where human oversight to these technological advancements will be more critical than ever.

“Even in big data analysis, human expertise is so important. At first glance, the raw data may look okay, but the trained human eye can see irregularities that even machines cannot,” said Nekrasz, who is developing a case study for his iMSA course that uses the data analysis technique, Benford’s Law.  “What I do in the case is I show students that while big data is a powerful tool if you don’t truly understand what you’re analyzing, you can be fooled by the data.”

This outside-the-box thinking makes Nekrasz a great teacher, and it helps develop great students. So don’t ask Dr. Frank to conform to industry standards. That’s not him. And “industry standard” isn’t the benchmark for students at Gies College of Business. Just like Frank Nekrasz, Jr., we are disruptive. We are forward-thinking, and we are committed to developing the next generation of business leaders.

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