Faculty in academia shouldn't be hesitant to follow their entrepreneurial goals just because it may be difficult to balance the two worlds. Graphic by Miguel Tovar/University of Houston

Finding balance in your professional life and your dreams can be hard for anyone. Faculty in academia, hoping to become entrepreneur and start their own companies, find this especially difficult. Finding this balance is essential to having success both professionally and in entrepreneurial endeavors.

Amy J. Ko, a professor at the University of Washington Information School and Co-Founder of AnswerDash, said in a post on her Bits and Behavior blog that she found parallels between being an entrepreneur and being a professor that helped her start her technology company.

Here are four parallels between startup life and faculty life that Ko found striking.

1. Fundraising.

"I spend a significant amount of my time seeking funding, carefully articulating problems with the status quo and how my ideas will solve these problems. The surface features of the work are different—in business, we pitch these ideas in slide decks, elevators, whereas in academia, we pitch them as NSF proposals and DARPA white papers—but the essence of the work is the same: it requires understanding the nature of a problem well enough that you can persuade someone to provide you resources to understand it more deeply and ultimately address it."

2. Experimentation.

"Research requires a high degree of iteration and experimentation, driven by carefully formed hypotheses. Startups are no different. We are constantly generating hypotheses about our customers, our end users, our business plan, our value, and our technology, and conducting experiments to verify whether the choice we've made is a positive or negative one."

3. Learning.

"Both academia and startups require a high degree of learning. As a professor, I'm constantly reading and learning about new discoveries and new technologies that will change the way I do my own research. As a founder, and particularly as a CTO, I find myself engaging in the same degree of constant learning, in an effort to perfect our product and our understanding of the value it provides."

4. Teaching.

"The teaching I do as a CTO is comparable to the teaching I do as a Ph.D. advisor in that the skills I'm teaching are less about specific technologies or processes, and more about ways of thinking about and approaching problems."

Ko also mentions the distinct differences between the two are the pace, the outcomes, and the consequences.

Finding Balance as a Professor and Entrepreneur

Alaina G. Levine, an award-winning entrepreneur, science journalist, and STEM careers consultant said in a Science Mag blog post that the key to success is to find ways to balance the two worlds.

"Issues of intellectual property ownership, human resources protocols, and time management, as well as the challenge of keeping a delineated barrier between professorial and business activities can be difficult to manage, but these concerns shouldn't prevent academics from seeking to create a startup company," Levine said in the blog post.

How to Balance Entrepreneurship and Faculty Responsibilities

According to Levine, these are a few things to consider before perusing entrepreneurship in order to successfully balance professorial and entrepreneurial activities:

1. Know your priorities

"If you are a professor who ponders whether your research can be developed into a technology that can be commercialized, your initial step should be to ponder your priorities. Do you want to stay in academia? Do you desire a career in industry? Deciding these choices early on, even before the lawyers and university representatives get involved, is crucial to forging a balance and a satisfying career."

2. Figuring out what path to take

"To wrangle the options and make it through the multiverse of marketing and manufacturing without sacrificing professorial duties, an academic's initial stop should be their institution's office of technology transfer (OTT). The OTT can assist faculty with understanding how much time they can spend on outside endeavors and how it must be structured. Technology transfer professionals also provide insight into patent law and can help professors navigate intellectual property (IP) issues."

3. Managing potential conflicts of interest

"Once you engage in entrepreneurship, you must create a distinct separation between your university lab and your company's facilities. IP can't flow freely between the two, and neither can labor—your grad students cannot work for you in your group and intern at your company at the same time. Safeguards that prevent mingling are necessary for legal purposes, say experts, as well as to synthesize a balance between being in academia and being in business."

4. Getting a Return on Investment on the faculty side

"Even with a targeted separation of academic and business endeavors, pursuing commercialization can actually enhance your skills in education. The connections that faculty make not only help the students but benefit the department and university as a whole as well."

What's The Big Idea?

Faculty in academia shouldn't be hesitant to follow their entrepreneurial goals just because it may be difficult to balance the two worlds. Take what you already know as a professor and apply it to your new venture as an entrepreneur. Also, know where your priorities lie, what path you're taking, watch out for conflicts of interest and make sure you, your students and university are all getting something out of it.

According to both writers, universities and research go hand in hand and both are "of critical importance" to the advancement of our society. So, is your research impactful? If the answer is yes, go for it.

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This article originally appeared on the University of Houston's The Big Idea. Cory Thaxton is the communications coordinator for The Division of Research.

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Houston doctor wins NIH grant to test virtual reality for ICU delirium

Virtual healing

Think of it like a reverse version of The Matrix. A person wakes up in a hospital bed and gets plugged into a virtual reality game world in order to heal.

While it may sound far-fetched, Dr. Hina Faisal, a Houston Methodist critical care specialist in the Department of Surgery, was recently awarded a $242,000 grant from the National Institute of Health to test the effects of VR games on patients coming out of major surgery in the intensive care unit (ICU).

The five-year study will focus on older patients using mental stimulation techniques to reduce incidences of delirium. The award comes courtesy of the National Institute on Aging K76 Paul B. Beeson Emerging Leaders Career Development Award in Aging.

“As the population of older adults continues to grow, the need for effective, scalable interventions to prevent postoperative complications like delirium is more important than ever,” Faisal said in a news release.

ICU delirium is a serious condition that can lead to major complications and even death. Roughly 87 percent of patients who undergo major surgery involving intubation will experience some form of delirium coming out of anesthesia. Causes can range from infection to drug reactions. While many cases are mild, prolonged ICU delirium may prevent a patient from following medical advice or even cause them to hurt themselves.

Using VR games to treat delirium is a rapidly emerging and exciting branch of medicine. Studies show that VR games can help promote mental activity, memory and cognitive function. However, the full benefits are currently unknown as studies have been hampered by small patient populations.

Faisal believes that half of all ICU delirium cases are preventable through VR treatment. Currently, a general lack of knowledge and resources has been holding back the advancement of the treatment.

Hopefully, the work of Faisal in one of the busiest medical cities in the world can alleviate that problem as she spends the next half-decade plugging patients into games to aid in their healing.

Houston scientists develop breakthrough AI-driven process to design, decode genetic circuits

biotech breakthrough

Researchers at Rice University have developed an innovative process that uses artificial intelligence to better understand complex genetic circuits.

A study, published in the journal Nature, shows how the new technique, known as “Combining Long- and Short-range Sequencing to Investigate Genetic Complexity,” or CLASSIC, can generate and test millions of DNA designs at the same time, which, according to Rice.

The work was led by Rice’s Caleb Bashor, deputy director for the Rice Synthetic Biology Institute and member of the Ken Kennedy Institute. Bashor has been working with Kshitij Rai and Ronan O’Connell, co-first authors on the study, on the CLASSIC for over four years, according to a news release.

“Our work is the first demonstration that you can use AI for designing these circuits,” Bashor said in the release.

Genetic circuits program cells to perform specific functions. Finding the circuit that matches a desired function or performance "can be like looking for a needle in a haystack," Bashor explained. This work looked to find a solution to this long-standing challenge in synthetic biology.

First, the team developed a library of proof-of-concept genetic circuits. It then pooled the circuits and inserted them into human cells. Next, they used long-read and short-read DNA sequencing to create "a master map" that linked each circuit to how it performed.

The data was then used to train AI and machine learning models to analyze circuits and make accurate predictions for how untested circuits might perform.

“We end up with measurements for a lot of the possible designs but not all of them, and that is where building the (machine learning) model comes in,” O’Connell explained in the release. “We use the data to train a model that can understand this landscape and predict things we were not able to generate data on.”

Ultimately, the researchers believe the circuit characterization and AI-driven understanding can speed up synthetic biology, lead to faster development of biotechnology and potentially support more cell-based therapy breakthroughs by shedding new light on how gene circuits behave, according to Rice.

“We think AI/ML-driven design is the future of synthetic biology,” Bashor added in the release. “As we collect more data using CLASSIC, we can train more complex models to make predictions for how to design even more sophisticated and useful cellular biotechnology.”

The team at Rice also worked with Pankaj Mehta’s group in the department of physics at Boston University and Todd Treangen’s group in Rice’s computer science department. Research was supported by the National Institutes of Health, Office of Naval Research, the Robert J. Kleberg Jr. and Helen C. Kleberg Foundation, the American Heart Association, National Library of Medicine, the National Science Foundation, Rice’s Ken Kennedy Institute and the Rice Institute of Synthetic Biology.

James Collins, a biomedical engineer at MIT who helped establish synthetic biology as a field, added that CLASSIC is a new, defining milestone.

“Twenty-five years ago, those early circuits showed that we could program living cells, but they were built one at a time, each requiring months of tuning,” said Collins, who was one of the inventors of the toggle switch. “Bashor and colleagues have now delivered a transformative leap: CLASSIC brings high-throughput engineering to gene circuit design, allowing exploration of combinatorial spaces that were previously out of reach. Their platform doesn’t just accelerate the design-build-test-learn cycle; it redefines its scale, marking a new era of data-driven synthetic biology.”