By SGN | 2 Nov 2026
Growing up in a household with two engineer parents, Jerene’s formative years were shaped by innovation.
Her father, a roboticist, would often enlist her help to translate equations from physical textbooks into LaTeX (a system for formatting mathematical notation) command codes, long before she even fully understood what it was. She’d also tinker with computing platform MATLAB, where pressing a command could make the computer calculate an equation and produce an answer.
Today, those childhood experiments have matured into an international career at the frontier of artificial intelligence. As a researcher at OpenAI, Jerene is part of the cohort training frontier AI models reshaping how the world interacts with technology.
Unsure of what specific major to pursue after graduating school, Jerene knew she wanted something that would continuously challenge her intellectually. Drawn to Carnegie Mellon University’s rigorous computer science programme and its alignment with her love for math, she took her first-ever computer science courses in college.
Fresh out of university, many young engineers face the classic crossroads: join a stable, well-established tech giant or take a high-risk gamble on a startup. Knowing that starting a family down the road would naturally shift her risk tolerance, she chose the startup route.
“In your early twenties, you are driven by naivete; you don’t know what you don’t know, and you are full of passion and boundless energy,” she remarks. “I needed an outlet for this energy that convinced me I could survive on a diet of instant noodles, and sleep in a basement alongside my co-founders.”
Navigating tech startups and championing financial literacy for women
Following the acquisition of her first venture, IO Turbine, Jerene and her founding peers set their sights on a far loftier horizon. Stepping into the enterprise data analytics arena, she spent six years as the co-founder of an analytics platform company, Xcalar.
“We were ready for a challenge and wanted to shoot for an IPO or a billion-dollar valuation,” she chuckles. “I suppose we got a little greedy. The bigger the idea, the bigger the risk.” Despite developing sophisticated technology, the venture struggled to secure long-term product-market fit, leading the team to wind down operations after six years.
Yet, these startup years served as a masterclass in resilience and agility, teaching Jerene learned how to navigate uncertainty with speed, and operate without the deep pockets or extensive headcounts of corporate behemoths.
“Startups teach you to be far less risk-averse and not to be overly married to an idea,” she explains. “You are a nimble speedboat, not a cruise ship. If an approach isn’t working, you have to pivot rapidly, and bounce back even quicker if you do make mistakes.”
Jerene’s entrepreneurial spirit took a personal turn when a long-time colleague suddenly faced a divorce, after spending decades as a stay-at-home mother.
In response, she founded an organisation aimed at helping women and mothers navigate life-altering transitions, offering guidance on personal finance, legal navigation, and asset division. To this day, Jerene continues to dedicate her time to pro bono consults, helping women navigate crises such as managing eldercare costs and restructuring finances.
Transitioning into big tech
Following her startup years, Jerene transitioned to big tech, spending four and a half years at Google. Working as a software engineer on Spanner, Google’s planet-scale database product, she was able to return to what she loved most: coding.
“Coding has always provided me with a profound sense of calm,” she muses. “There is something truly magical about sitting alone with a computer; a blank terminal and blinking cursor; gradually constructing thousands of lines of logic until it performs something extraordinary.”
To this day, Jerene takes immense pride in being able to solve a complex bug with a single, precise line of code. “And when the code breaks, it isn’t a defeat – it’s an elegant puzzle waiting to be unlocked. It’s just me and the computer; there’s no one else to blame.”
Steering data research at OpenAI
Nearly five years into her career at Google, Jerene was approached by OpenAI. While she was proud of what her team had achieved at Google, she sensed her learning curve flatten. Meanwhile, around the launch of GPT-4, large language models were transforming the technological zeitgeist.
“I was using early iterations of ChatGPT, and was simply astounded by what I was interacting with,” she recalls. “As a builder, my immediate impulse was to know how this technology worked, from the inside out.”
So, when OpenAI came calling, she knew this was a once-in-a-lifetime. “I had to take the leap.”
At OpenAI, Jerene’s research centres on data: generating, evaluating, and structuring the data pipelines that feed model training, and studying how data composition directly dictates model reasoning and emergent intelligence.
Reflecting on recent breakthroughs. such as the release of flagship models like GPT-6 Astra, she points out that modern AI capabilities represent years of quiet, painstaking research rather than fleeting, overnight jumps. These advancements span multi-domain capabilities, researchers leveraging AI to tackle longstanding open problems in mathematics, and unpack complex physics questions.
Yet, for Jerene, pushing the envelope of intelligence is inseparable from the responsibility of safety. “Safety is our absolute highest priority,” she emphasizes. “If we identify that a model is deliberating a harmful action or exhibiting behaviours inconsistent with human intent, we halt it immediately. We have strict thresholds where we will slow down, pause, or completely abort entire training runs if safety metrics fail.”
Ultimately, she views the societal mission of artificial intelligence as egalitarian.
“We want AI to enrich lives and empower people to achieve more, while ensuring humans remain firmly in the driver’s seat of the economy,” she shares. “That’s why this technology must be democratised, so everyday individuals and entrepreneurs can benefit.”
Nurturing the next generation of Singaporean talent from afar
Despite spending nearly two decades in the United States, Jerene remains closely tethered to her hometown of Singapore. “Raising children abroad without immediate family nearby can be challenging, but both my parents and my in-laws fly out to stay with us for several months each year,” she shares. “Without their support, it would have been ten times harder.
Jerene also misses the distinctly Singaporean childhood she grew up in, particularly its warmth and spontaneity.
“Back then, you could wander downstairs to any of the ten HDB playgrounds within walking distance, run into the same childhood friends every single afternoon, and play freely,” she reminisces. “In the US, our social lives require far more deliberate scheduling.”
It is this enduring affinity for home that fuels her desire to eventually return and pay it forward.
“Spending time overseas has deepened my appreciation of different perspectives and backgrounds, and helped me take a more holistic approach to the products and solutions I build,” she shares.
“I would encourage Singaporeans to embrace such opportunities when they arise.”
Yet at the same time, she advises that overseas experiences are not a prerequisite. “Singapore’s multicultural society offers rich opportunities to learn from diverse cultures and perspectives at home,” she adds.
As a senior tech advisor for Singapore’s Ministry of Defence and a frequent conversationalist with public service policymakers, Jerene regularly engages in discussions on how Singapore can leverage AI, create jobs, adapt school curricula, and upskill its workforce while preserving its comparative economic edge.
When asked what advice she has for young Singaporeans aspiring to navigate the AI era, she offers a grounded, reassuring outlook.
“Today, companies recognise that AI accelerates and amplifies human talent; it does not replace the need for bright, curious, and energetic thinkers."
“More importantly, it democratises access to world-class knowledge. You no longer need to relocate to Silicon Valley to work at the cutting edge. With the right mindset, you can build an impactful global career right from Singapore.”
About Jerene
Jerene Yang leads Synthetic Data Generation at OpenAI. A Computer Science and Mathematics graduate of Carnegie Mellon University, she previously built large-scale database and storage systems at Google.
Connect with her here.
