Cornell Johnson | Ms. Chef Instructor
GMAT 760, GPA 3.3
Ross | Mr. Automotive Compliance Professional
GMAT 710, GPA 3.7
Stanford GSB | Mr. Seeking Fellow Program
GMAT 760, GPA 3
Wharton | Mr. Real Estate Investor
GMAT 720, GPA 3.3
Chicago Booth | Mr. Oil & Gas Leader
GMAT 760, GPA 6.85/10
Chicago Booth | Ms. CS Engineer To Consultant
GMAT 720, GPA 3.31
Harvard | Mr. Climate
GMAT 720, GPA 3.4
Wharton | Mr. New England Hopeful
GMAT 730, GPA 3.65
Wharton | Mr. Digi-Transformer
GMAT 680, GPA 4
Berkeley Haas | Mr. Bangladeshi Data Scientist
GMAT 760, GPA 3.33
Harvard | Mr. Military Banker
GMAT 740, GPA 3.9
Ross | Ms. Packaging Manager
GMAT 730, GPA 3.47
Chicago Booth | Mr. Private Equity To Ed-Tech
GRE 326, GPA 3.4
Harvard | Mr. Gay Singaporean Strategy Consultant
GMAT 730, GPA 3.3
Cornell Johnson | Mr. Electric Vehicles Product Strategist
GRE 331, GPA 3.8
Columbia | Mr. BB Trading M/O To Hedge Fund
GMAT 710, GPA 3.23
Columbia | Mr. Old Indian Engineer
GRE 333, GPA 67%
Harvard | Mr. Athlete Turned MBB Consultant
GMAT 720, GPA 3.4
Ross | Mr. Civil Rights Lawyer
GMAT 710, GPA 3.62
Stanford GSB | Mr. Co-Founder & Analytics Manager
GMAT 750, GPA 7.4 out of 10.0 - 4th in Class
Cornell Johnson | Ms. Environmental Sustainability
GMAT N/A, GPA 7.08
Cornell Johnson | Mr. Trucking
GMAT 640, GPA 3.82
Ross | Mr. Low GRE Not-For-Profit
GRE 316, GPA 74.04% First Division (No GPA)
Harvard | Mr. Marine Pilot
GMAT 750, GPA 3.98
Harvard | Mr. Army Intelligence Officer
GRE 334, GPA 3.97
Harvard | Ms. Data Analyst In Logistics
GRE 325, GPA 4
McCombs School of Business | Mr. Comeback Story
GRE 313, GPA 2.9

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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