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 college joins inaugural workforce accelerator supported by Google

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Houston City College (HCC) is one of 15 community colleges from around the country to be selected for the first-ever Workforce Futures Accelerator.

The three-year effort is supported by Google.org, the tech company’s philanthropic arm, and led by the Association of Community College Trustees (ACCT), a non-profit educational organization that represents over 500 community, junior, and technical colleges. The accelerator focuses on helping colleges embed virtual, employer-sponsored training opportunities into short-term workforce training programs, giving participants access to opportunities that they might otherwise receive through internships or other "work-based learning" stints.

"The Workforce Futures Accelerator reflects the Houston City College mission of offering a high-quality, affordable education for workforce training and career development," Pretta VanDible Stallworth, HCC trustee and chair-elect of the ACCT board of directors, said in a news release. "Advancing student success and creating pathways to opportunities ensures that our students are well equipped to succeed and build a secure future in today's economy.”

Through the accelerator, HCC is tasked with fusing online project-based learning opportunities with its workforce education programs. The idea is to give students hands-on experiences working on projects sponsored by employers, allowing them to gain real-world knowledge in the process.

HCC will select two workforce programs that meet the accelerator’s criteria and insert into them into coursework. In the second and third year of the accelerator, the selected colleges are expected to scale the programs by adding instructors and programs to develop a network of to support their continued implementation.

“Participation by HCC will strengthen how we provide students with career-connected learning experiences that complement their classroom education and align with the needs of employers,” HCC Chancellor Margaret Ford Fisher added in the news release. “We are focused on ‘future forward’ strategies to meet the present and future needs of our region’s businesses.”

Two other Texas colleges were chosen to participate in the accelerator: Lamar Institute of Technology in Beaumont and Grayson College in Denison.

The remaining cohort includes:

  • Bergen Community College in Paramus, New Jersey
  • Central Louisiana Community College in Alexandria, Louisiana
  • Clark State College in Springfield, Ohio
  • Great Basin College in Elko, Nevada
  • Heartland Community College in Normal, Illinois
  • Hudson County Community College in Jersey City, New Jersey
  • Manchester Community College in Manchester, New Hampshire
  • Mesa Community College in Mesa, Arizona
  • Mohave College in Kingman, Arizona
  • San Joaquin Delta Community College in Stockton, California
  • San Juan College in Farmington, New Mexico
  • West Virginia University Parkersburg in Parkersburg, West Virginia

New report ranks Texas among top 10 states where AI could disrupt jobs

AI Workforce

A new nationwide report examining where AI could "reshape" the most jobs has ranked Texas No. 9 among the most at-risk states for AI job disruption.

The new SmartAsset report compared all 50 states and the District of Columbia to calculate the estimated percent of the workforce employed in the 26 occupations with the highest AI exposure, as determined by June 2026 research by the Virginia Economic Information and Analytics Division.

The findings revealed that 500,000 Texas workers, or 3.55 percent of the total workforce, are employed in occupations with "high exposure to potential AI disruption."

This also places the Lone Star State as the 9th most at-risk state in the U.S. where AI exposure can lead to "declining hiring demand, wage pressure, task automation, and other forms of disruption."

"States with larger concentrations of highly exposed occupations could experience more pronounced labor-market changes, particularly in roles where core tasks are more vulnerable to AI-driven restructuring," the report's author wrote.

Texas' biggest cities, like Houston and Austin, are known for their thriving tech and business industries, and the study noted that many of the occupations within those sectors are the most at risk. The Virginia Economic Information and Analytics Division said the top five most AI-exposed occupations in the U.S. are: mathematicians, proofreaders, correspondence clerks, court reporters, and media and communication workers. Additionally, computer programmers, database administrators, web developers, telephone operators, and communications equipment operators round out the top 10 most at-risk positions.

These are the 16 remaining occupations most exposed to AI disruption, in order:

  • Data Entry Keyers
  • Statistical Assistants
  • Office Support Workers
  • Interpreters and Translators
  • Database Architects
  • Software Quality Assurance Analysts
  • Medical Transcriptionists
  • Software Developers
  • Writers and Authors
  • Payroll Clerks
  • Web Designers
  • Miscellaneous Computer Occupations
  • Insurance Claims Processors
  • Telemarketers
  • Computer Numerically Controlled Tool Programmers
  • Bookkeeping and Accounting Clerks

A separate SmartAsset report from April 2026 found about 20.5 percent of Texas workers use AI to do their jobs in some capacity. That trend will continue to shift further as employers and employees choose to adopt — or reject — AI implementation.

Across the U.S., Washington topped the list as the state with the highest concentration of AI-exposed jobs, with nearly 5.7 percent of the state's workforce employed in the 26 most at-risk positions. SmartAsset said Washington's high prevalence of technology companies is a significant factor that skyrocketed the state to the top of the list.

"Home to major technology companies including Microsoft, Amazon, T-Mobile and Expedia, the state has large numbers of computer programmers and software developers, two occupations with high exposure," the report said.

Meanwhile, Mississippi ranked No. 51 with the lowest concentration of AI-exposed jobs in the nation. About 22,500 workers in Mississippi, or 1.93 percent of its workforce, are at risk for AI disruption.

The top 10 states where AI could reshape the most jobs are:

  • No. 1 – Washington
  • No. 2 – Virginia
  • No. 3 – District of Columbia
  • No. 4 – California
  • No. 5 – Utah
  • No. 6 – Maryland
  • No. 7 – Colorado
  • No. 8 – New Hampshire
  • No. 9 – Texas
  • No. 10 – North Carolina
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This article originally appeared on CultureMap.com.

UH lands $1.2M NIH grant to fight superbugs using AI, quantum sensing

drug defense

The fight against antibiotic-resistant bacteria like MRSA is getting science fiction-like upgrades at the University of Houston thanks to a new four-year, $1.26 million grant from the National Institutes of Health.

The university says the recent funding brings total federal support up to $3.5 million for 11 years for the project, which uses AI and quantum-sensing technology to better understand how bacterial proteins develop resistance to drugs.

Any medical professional will tell you that one of the worst things that can happen is almost killing an infection. Bacteria that survive attacks from conventional antibiotic treatments emerge tougher, more resistant and more aggressive than before–making them much harder to treat. A good example is the superbug methicillin-resistant Staphylococcus aureus (MRSA).

UH chemistry professors Yuhong Wang and Shoujun Xu are working on this issue. They know full well that fighting superbugs requires new technology and new approaches, which is what they aim to pioneer with their new grant.

“Drug-resistant bacterial infections such as MRSA are becoming harder to treat, creating an urgent need for faster ways to understand how antibiotics and other small molecules interact with bacterial proteins,” Wang said in a news release.

Wang and Xu’s work centers around GTP, a cellular fuel that can cause tiny changes to a cell's structure when it mutates. Sometimes, those shape changes make it easier for drugs to breach the wall and attack the cells.

The UH scientists are employing AlphaFold, an AI-powered tool that can scan large molecular libraries in seconds. From these models, they can see promising drug combinations for future testing.

Once identified, the team uses their invention, super-resolution force spectroscopy, to monitor the cells. Tiny magnetic beads are attached to genetic material, then magnified to see how strong that material is when pulled. They can measure this incredible microscopic process through an atomic magnetometer, typically used in quantum physics. Combined, all these tools allow a high-definition look at how each molecule might respond to new chemical approaches.

“We're the only chemists in the world that use an atomic magnetometer for biological research,” Xu said. “It's a technique developed by physicists, and there is usually a gap between techniques developed by physicists and biological applications. Yuhong and I have been bridging that gap together for the past 10 years.”

Eventually, Wang and Xu hope to develop powerful software that can be used by drug manufacturers to model cellular responses. With enough predictive data, the software could even get ahead of superbugs’ own mutation, allowing drugs to be developed before new strains arrive.

"We want an algorithm where you input a protein sequence, score the mutation hotspots, and develop new inhibitors before a drug-resistant species even emerges," Wang added.

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