3 Houston innovators to know this week

who's who

This week's roundup of Houston innovators includes Atul Varadhachary of Fannin, Natasha Gorodetsky of Product Pursuits, and Jay Hartenbach of Diakonos Oncology. Photos courtesy

Editor's note: Every Monday, I'm introducing you to three Houston innovators to know — three individuals behind recent innovation and startup news stories in Houston as reported by InnovationMap. Learn more about them and their recent news below by clicking on each article.

Atul Varadhachary, managing director of Fannin Innovation

Atul Varadhachary of Fannin joins the Houston Innovators Podcast. Photo via LinkedIn

Commercializing a life science innovation that has the potential to enhance or even save the lives of millions of patients is a marathon, not a sprint. That's how Atul Varadhachary thinks of it, and he's leading an organization that's actively running that race for several different early-stage innovations.

For over a decade, Fannin has worked diligently to develop promising life science innovations — that start as just an idea or research subject — by garnering grant funding and using its team of expert product developers to build out the technology or treatment. The model is different from what you'd see at an accelerator or incubator, and it also varies from the path taken by an academic or research institution.

The life science innovation timeline is very different from a software startup's, which can get to an early prototype in less than a year.

"In biotech, to get to that minimally viable product, it can take a decade and tens of millions of dollars," Varadhachary, managing director at Fannin, says on the Houston Innovators Podcast. Read more.

Natasha Gorodetsky, founder and CEO of Product Pursuits

A product management expert shares how artificial intelligence is affecting the process for the tech and startup worlds. Photo via LinkedIn

For over a year, the tech and business community has been obsessing over artificial intelligence. As Natasha Gorodetsky, the Houston-based founder and CEO of Product Pursuits, writes in a guest column about how the product management community is not an exception.

"Product managers — as well as startup founders leading a product function — more than any other role, face a challenge of bringing new life-changing products to market that may or may not be received well by their users," she writes. "A product manager’s goal is complex — bring value, stay ahead of the competition, be innovative. Yet, the "behind the scenes" grind requires endless decision making and trade offs to inspire stakeholders to move forward and deliver."

She continues in her article to outline the trends of AI for product management. Read more.

Jay Hartenbach, COO of Diakonos Oncology

A Houston company with a promising immuno-oncology is one step closer to delivering its cancer-fighting drug to patients who need it. Photo via Diakonos

Diakonos Oncology has recently made major headway with the FDA, including both a fast track and an orphan drug designation. It will soon start a phase 2 trial of its promising cancer fighting innovation.

The therapy catalyzes a natural immune response, it’s the patient’s own body that’s fighting the cancer. Hartenbach credits Decker with the idea of educating dendritic cells to attack cancer, in this case, glioblastoma multiforme (GBM), one of the most aggressive cancers with which doctors and patients are forced to tangle.

“Our bodies are already very good at responding very quickly and aggressively to what it perceives as virally infected cells. And so what Dr. Decker did was basically trick the immune system by infecting these dendritic cells with the cancer specific protein and mRNA,” details COO Jay Hartenbach. Read more.

A product management expert shares how artificial intelligence is affecting the process for the tech and startup worlds. Photo via Getty Images

How AI is changing product management and what you need to know

guest column

For the past 14 months, everyone has been talking about ways artificial intelligence is changing the world, and product management is not an exception. The challenge, as with every new technology, is not only adopting it but understanding what old habits, workflows, and processes are affected by it.

Product managers — as well as startup founders leading a product function — more than any other role, face a challenge of bringing new life-changing products to market that may or may not be received well by their users. A product manager’s goal is complex — bring value, stay ahead of the competition, be innovative. Yet, the "behind the scenes" grind requires endless decision making and trade offs to inspire stakeholders to move forward and deliver.

As we dive into 2024, it is obvious that AI tools do not only transform the way we work but also help product managers create products that exceed customer expectation and drive businesses forward.

Market research and trends analysis

As product managers, we process enormous amounts of market data — from reviewing global and industry trend analysis, to social media posts, predictions, competition, and company goals. AI, however, can now replace hours, if not days, of analyzing massive amounts of data in an instant, revealing market trends, anticipating needs, and foreseeing what's coming next. As a result, it is easier to make effective product decisions and identify new market opportunities.

Competitive analysis

Constantly following competitors, reviewing their new releases, product updates, or monitoring reviews to identify competitor strengths and weaknesses is an overwhelming and time consuming task. With AI, you can quickly analyze competitors’ products, pricing, promotions, and feedback. You can easily compare multiple attributes, including metrics, and identify gaps and areas for improvement — all the insights that are otherwise much harder to reveal quickly and efficiently.

Customer and product discovery

Of course, the most intuitive use case that comes to mind is the adoption of AI in product and customer discovery. For example:

  • Use AI for customer segmentation and persona creation to help visualize personas, prioritize user motivations and expectations, and uncover hidden behavior and needs. You can then create and simplify customer questionnaires for interviews and user groups and target customers more accurately.
  • Analyze quantitative and qualitative data from surveys, support tickets, reviews, and in-person interviews to identify pain points and unmet user needs and help prioritize features for future updates and releases.

Roadmap and sprint management

AI provides value in simplifying roadmap planning and sprint management. Resource optimization is often a gruesome task and AI can help with feature prioritization and resource allocation. It helps teams focus on critical work and increase their productivity. You can even analyze and manage dependencies and improve results across multiple sprints months in advance.

Prototyping and mockup generation

There is no product manager’s routine without multiple mockups, wireframes, and prototypes that explain concepts and collect feedback among stakeholders. AI has become a critical tool in simplifying this process and bringing ideas to life from concept to visualization.

Today, you can use textual or voice descriptions to instantly create multiple visuals with slight variations, run A/B tests and gather valuable feedback at the earliest stage of a product life cycle.

Job search and job interviews

Consider it as a bonus but one of the less obvious but crucial advantages of AI is using it in job search. With the vulnerable and unstable job market, especially for product roles, AI is a valuable assistant. From getting the latest news and updates on a company you want to join, to summarizing insights on the executive team, or company goals, compiling lists of interview questions, and running mock interviews, AI has become a non-judgmental assistant in a distressing and often discouraging job search process.

Use AI to draft cold emails to recruiters and hiring managers, compare your skills to open positions’ requirements, identify gaps, and outline ideas for test assignments.

We already know that AI is not a hype; it is here to stay. However, remember that customers do not consume AI, they consume your product for its value. Customers care whether your product gets their need, solves their problem, and makes their lives easier. The goal of a product manager is to create magic combining human brain capabilities and latest technology. And the best result is with a human at the core of any product.

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Natasha Gorodetsky is the founder and CEO of Product Pursuits, a Houston company that helps early stage and venture-backed startups build products and create impact.

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Houston researchers develop material to boost AI speed and cut energy use

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A team of researchers at the University of Houston has developed an innovative thin-film material that they believe will make AI devices faster and more energy efficient.

AI data centers consume massive amounts of electricity and use large cooling systems to operate, adding a strain on overall energy consumption.

“AI has made our energy needs explode,” Alamgir Karim, Dow Chair and Welch Foundation Professor at the William A. Brookshire Department of Chemical and Biomolecular Engineering at UH, explained in a news release. “Many AI data centers employ vast cooling systems that consume large amounts of electricity to keep the thousands of servers with integrated circuit chips running optimally at low temperatures to maintain high data processing speed, have shorter response time and extend chip lifetime.”

In a report recently published in ACS Nano, Karim and a team of researchers introduced a specialized two-dimensional thin film dielectric, or electric insulator. The film, which does not store electricity, could be used to replace traditional, heat-generating components in integrated circuit chips, which are essential hardware powering AI.

The thinner film material aims to reduce the significant energy cost and heat produced by the high-performance computing necessary for AI.

Karim and his former doctoral student, Maninderjeet Singh, used Nobel prize-winning organic framework materials to develop the film. Singh, now a postdoctoral researcher at Columbia University, developed the materials during his doctoral training at UH, along with Devin Shaffer, a UH professor of civil engineering, and doctoral student Erin Schroeder.

Their study shows that dielectrics with high permittivity (high-k) store more electrical energy and dissipate more energy as heat than those with low-k materials. Karim focused on low-k materials made from light elements, like carbon, that would allow chips to run cooler and faster.

The team then created new materials with carbon and other light elements, forming covalently bonded sheetlike films with highly porous crystalline structures using a process known as synthetic interfacial polymerization. Then they studied their electronic properties and applications in devices.

According to the report, the film was suitable for high-voltage, high-power devices while maintaining thermal stability at elevated operating temperatures.

“These next-generation materials are expected to boost the performance of AI and conventional electronics devices significantly,” Singh added in the release.

Houston to become 'global leader in brain health' and more innovation news

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Editor's note: The most-read Houston innovation news this month is centered around brain health, from the launch of Project Metis to Rice''s new Amyloid Mechanism and Disease Center. Here are the five most popular InnovationMap stories from December 1-15, 2025:

1. Houston institutions launch Project Metis to position region as global leader in brain health

The Rice Brain Institute, UTMB's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department will lead Project Metis. Photo via Unsplash.

Leaders in Houston's health care and innovation sectors have joined the Center for Houston’s Future to launch an initiative that aims to make the Greater Houston Area "the global leader of brain health." The multi-year Project Metis, named after the Greek goddess of wisdom and deep thought, will be led by the newly formed Rice Brain Institute, The University of Texas Medical Branch's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department. The initiative comes on the heels of Texas voters overwhelmingly approving a ballot measure to launch the $3 billion, state-funded Dementia Prevention and Research Institute of Texas (DPRIT). Continue reading.

2.Rice University researchers unveil new model that could sharpen MRI scans

New findings from a team of Rice University researchers could enhance MRI clarity. Photo via Unsplash.

Researchers at Rice University, in collaboration with Oak Ridge National Laboratory, have developed a new model that could lead to sharper imaging and safer diagnostics using magnetic resonance imaging, or MRI. In a study published in The Journal of Chemical Physics, the team of researchers showed how they used the Fokker-Planck equation to better understand how water molecules respond to contrast agents in a process known as “relaxation.” Continue reading.

3. Rice University launches new center to study roots of Alzheimer’s and Parkinson’s

The new Amyloid Mechanism and Disease Center will serve as the neuroscience branch of Rice’s Brain Institute. Photo via Unsplash.

Rice University has launched its new Amyloid Mechanism and Disease Center, which aims to uncover the molecular origins of Alzheimer’s, Parkinson’s and other amyloid-related diseases. The center will bring together Rice faculty in chemistry, biophysics, cell biology and biochemistry to study how protein aggregates called amyloids form, spread and harm brain cells. It will serve as the neuroscience branch of the Rice Brain Institute, which was also recently established. Continue reading.

4. Baylor center receives $10M NIH grant to continue rare disease research

BCM's Center for Precision Medicine Models has received funding that will allow it to study more complex diseases. Photo via Getty Images

Baylor College of Medicine’s Center for Precision Medicine Models has received a $10 million, five-year grant from the National Institutes of Health that will allow it to continue its work studying rare genetic diseases. The Center for Precision Medicine Models creates customized cell, fly and mouse models that mimic specific genetic variations found in patients, helping scientists to better understand how genetic changes cause disease and explore potential treatments. Continue reading.

5. Luxury transportation startup connects Houston with Austin and San Antonio

Shutto is a new option for Houston commuters. Photo courtesy of Shutto

Houston business and leisure travelers have a luxe new way to hop between Texas cities. Transportation startup Shutto has launched luxury van service connecting San Antonio, Austin, and Houston, offering travelers a comfortable alternative to flying or long-haul rideshare. Continue reading.

Texas falls to bottom of national list for AI-related job openings

jobs report

For all the hoopla over AI in the American workforce, Texas’ share of AI-related job openings falls short of every state except Pennsylvania and Florida.

A study by Unit4, a provider of cloud-based enterprise resource planning (ERP) software for businesses, puts Texas at No. 49 among the states with the highest share of AI-focused jobs. Just 9.39 percent of Texas job postings examined by Unit4 mentioned AI.

Behind Texas are No. 49 Pennsylvania (9.24 percent of jobs related to AI) and No. 50 Florida (9.04 percent). One spot ahead of Texas, at No. 47, is California (9.56 percent).

Unit4 notes that Texas’ and Florida’s low rankings show “AI hiring concentration isn’t necessarily tied to population size or GDP.”

“For years, California, Texas, and New York dominated tech hiring, but that’s changing fast. High living costs, remote work culture, and the democratization of AI tools mean smaller states can now compete,” Unit4 spokesperson Mark Baars said in a release.

The No. 1 state is Wyoming, where 20.38 percent of job openings were related to AI. The Cowboy State was followed by Vermont at No. 2 (20.34 percent) and Rhode Island at No. 3 (19.74 percent).

“A company in Wyoming can hire an AI engineer from anywhere, and startups in Vermont can build powerful AI systems without being based in Silicon Valley,” Baars added.

The study analyzed LinkedIn job postings across all 50 states to determine which ones were leading in AI employment. Unit4 came up with percentages by dividing the total number of job postings in a state by the total number of AI-related job postings.

Experts suggest that while states like Texas, California and Florida “have a vast number of total job postings, the sheer volume of non-AI jobs dilutes their AI concentration ratio,” according to Unit4. “Moreover, many major tech firms headquartered in California are outsourcing AI roles to smaller, more affordable markets, creating a redistribution of AI employment opportunities.”

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