Othram and the University of Texas M.D. Anderson Cancer Center have teamed up to create a modern forensic sequencing lab program. Getty Images

Houston-area's first-privately held forensic sequencing laboratory has partnered with The University of Texas M.D. Anderson Cancer Center to create an academic program that will provide forensic training to genome scientists that will help them crack previously unsolved criminal cases.

Othram was created in 2018 specifically to apply the power of modern DNA parallel sequences to forensic evidence. Its new academic program partnership is aimed at training Molecular Genetic Technology (MGT) graduate students in the newest laboratory techniques and technology for the recovery and analysis of human DNA from deteriorated or contaminated materials.

"Because this field is so new, there aren't many individuals who are experts in both genomics and forensic science," David Mittelman, CEO and founder of Othram, tells InnovationMap. "We wanted to collaborate with M.D. Anderson who has a great genetic testing program already to help students learn about how to apply current techniques that are being used to solve cases that no one else can solve."

MGT students, who study the role of genetics in medicine, will be able to train with Othram experts using new technological advances such as the ability to harness whole-genome shotgun sequencing for the unique needs that forensic evidence demands like human identification.

"The Texas Medical Center is the best in the world, specifically for genomics training so it seemed like a natural fit," says Mittelman. "Especially since we want to attract and expose students to this new area of forensics as a possible outlet."

The use of new technology is what sets Othram apart, last year they helped solved a 103-year old mystery of a headless torso found in an Idaho cave, using their Forensic-Grade Genome SequencingTM technology. The DNA extraction and sequencing lab at Othram distill the sample DNA down to a sequence, which with the help of computer software, can be analyzed to reconstruct the whole genome of an individual's DNA.

Then the DNA is digitized and matched to other databases such as the FBI's Combined DNA Index System to cross-reference for a DNA match. With Othram's ability to construct whole genomes from previously unusable DNA samples, they can further the search to identify human remains or identify suspects from living relatives.

"There is no one currently leveraging whole genome sequencing right now like Othram," says Mittelman. "There's a whole range of opportunities from taking a look at the whole genome from ancestry to relationship testing and physical trait prediction."

The unique learning experience for MGT students will integrate classroom lectures, laboratory demonstrations, and technological experiences. Mittleman says that the academic program partnership will enable a new generation of forensic genomics scientists to digitize the nation's DNA evidence and solve cold cases.

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Houston researcher builds radar to make self-driving cars safer

eyes on the road

A Rice University researcher is giving autonomous vehicles an “extra set of eyes.”

Current autonomous vehicles (AVs) can have an incomplete view of their surroundings, and challenges like pedestrian movement, low-light conditions and adverse weather only compound these visibility limitations.

Kun Woo Cho, a postdoctoral researcher in the lab of Rice professor of electrical and computer engineering Ashutosh Sabharwal, has developed EyeDAR to help address such issues and enhance the vehicles’ sensing accuracy. Her research was supported in part by the National Science Foundation.

The EyeDAR is an orange-sized, low-power, millimeter-wave radar that could be placed at streetlights and intersections. Its design was inspired by that of the human eye. Researchers envision that the low-cost sensors could help ensure that AVs always pick up on emergent obstacles, even when the vehicles are not within proper range for their onboard sensors and when visibility is limited.

“Current automotive sensor systems like cameras and lidar struggle with poor visibility such as you would encounter due to rain or fog or in low-lighting conditions,” Cho said in a news release. “Radar, on the other hand, operates reliably in all weather and lighting conditions and can even see through obstacles.”

Signals from a typical radar system scatter when they encounter an obstacle. Some of the signal is reflected back to the source, but most of it is often lost. In the case of AVs, this means that "pedestrians emerging from behind large vehicles, cars creeping forward at intersections or cyclists approaching at odd angles can easily go unnoticed," according to Rice.

EyeDAR, however, works to capture lost radar reflections, determine their direction and report them back to the AV in a sequence of 0s and 1s.

“Like blinking Morse code,” Cho added. “EyeDAR is a talking sensor⎯it is a first instance of integrating radar sensing and communication functionality in a single design.”

After testing, EyeDAR was able to resolve target directions 200 times faster than conventional radar designs.

While EyeDAR currently targets risks associated with AVs, particularly in high-traffic urban areas, researchers also believe the technology behind it could complement artificial intelligence efforts and be integrated into robots, drones and wearable platforms.

“EyeDAR is an example of what I like to call ‘analog computing,’” Cho added in the release. “Over the past two decades, people have been focusing on the digital and software side of computation, and the analog, hardware side has been lagging behind. I want to explore this overlooked analog design space.”

12 winners named at CERAWeek clean tech pitch competition in Houston

top teams

Twelve teams from around the country, including several from Houston, took home top honors at this year's Energy Venture Day and Pitch Competition at CERAWeek.

The fast-paced event, held March 25, put on by Rice Alliance, Houston Energy Transition Initiative and TEX-E, invited 36 industry startups and five Texas-based student teams focused on driving efficiency and advancements in the energy transition to present 3.5-minute pitches before investors and industry partners during CERAWeek's Agora program.

The competition is a qualifying event for the Startup World Cup, where teams compete for a $1 million investment prize.

PolyJoule won in the Track C competition and was named the overall winner of the pitch event. The Boston-based company will go on to compete in the Startup World Cup held this fall in San Francisco.

PolyJoule was spun out of MIT and is developing conductive polymer battery technology for energy storage.

Rice University's Resonant Thermal Systems won the second-place prize and $15,000 in the student track, known as TEX-E. The team's STREED solution converts high-salinity water into fresh water while recovering valuable minerals.

Teams from the University of Texas won first and second place in the TEX-E competition, bringing home $25,000 and $10,000, respectively. The student winners were:

Companies that pitched in the three industry tracts competed for non-monetary awards. Here are the companies named "most-promising" by the judges:

Track A | Industrial Efficiency & Decarbonization

Track B | Advanced Manufacturing, Materials, & Other Advanced Technologies

  • First: Licube, based in Houston
  • Second: ZettaJoule, based in Houston and Maryland
  • Third: Oleo

Track C | Innovations for Traditional Energy, Electricity, & the Grid

The teams at this year's Energy Venture Day have collectively raised $707 million in funding, according to Rice. They represent six countries and 12 states. See the full list of companies and investor groups that participated here.

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This article originally appeared on our sister site, EnergyCapitalHTX.com.