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Yian Chen liked thisYian Chen liked thisAfter almost 6 incredible years at EY, the time has come for me to close this chapter and embark on a new adventure. Looking back, I am filled with immense gratitude for the experiences, challenges, and growth that EY has provided me. This journey has been nothing short of transformative, both professionally and personally. To my colleagues and teammates: You have been my daily source of inspiration and support. Thank you for your collaboration, camaraderie, and the countless moments we've shared working together. I've learned so much from each of you. To my counselors: Your guidance, trust, and belief in my potential have been invaluable. You challenged me to think bigger, supported me through challenges, and celebrated my successes along the way. I am deeply grateful for your support and mentorship. I wouldn’t have became who I am today professionally without you. To my clients: It has been a privilege to partner with you and contribute to your success. Thank you for your trust and for allowing me to be part of your journeys. EY will always hold a special place in my heart. As a foreigner building a career here, I truly appreciated the inclusive culture and the equal opportunity to grow and thrive based on merit. This is something I will always carry with me. As I look forward to this new chapter, I am excited for what lies ahead and will share more details soon. For now, I simply want to say thank you to everyone who has been part of this remarkable journey. Please stay in touch — I'd love to hear what you're all up to! #ThankYou #EY #Gratitude #Farewell #NewChapter #CareerJourney #Mentorship #Clients #Inclusion
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Yian Chen reacted on thisYian Chen reacted on thisMeta just launched its first in-house designed line of AI glasses in three distinct styles I'm genuinely excited about— the Fury, Adventurer, and especially the Starfire Kylie Edition. And I couldn't be prouder of the work our team put in behind the scenes from a launch measurement perspective. Our team's job is to make sure we can actually answer the hard questions — before launch and after. What's working, what isn't, and at what scale. In a category that's still being defined, that's harder than it sounds. Every launch teaches us something the previous one didn't. Which style would you wear? 👇 #AIWearables #PhysicalAI #DataEngineering #WearableTech #MetaAI
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Yian Chen reacted on thisYian Chen reacted on thisReach out if you love building large scale real time distributed data platforms, We’re hiring in London!
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Yian Chen liked thisYian Chen liked thisMy team is hiring a Senior Credit Risk Analyst! This role offers a fantastic opportunity to work on consumer credit risk strategy, portfolio analytics, and data-driven decision-making. The selected candidate will collaborate with cross-functional teams to drive significant business impact. If you have experience in consumer lending (preferably in auto), credit risk, and data analytics - and enjoy solving complex problems - I’d love to hear from you. Apply through the link below or reach out to me directly with any questions. #Hiring #CreditRisk #RiskManagement #AutoFinance #ConsumerLending #Analytics
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Yian Chen liked thisYian Chen liked thisEvery data wave promised to change everything. And each one did bring real, fundamental change. But every time, the teams that invested in solid data architecture and clean data models came out ahead. I've watched this play out firsthand over fifteen years. The field has changed more in the last three years than in the previous twelve combined. What changed: the tools, the platforms, the team structures, the job titles, the speed of everything. Software Engineer in Data became Data Engineer, which is now becoming AI-native Data Builder. Every few years the job reinvents itself. What didn't change: Someone still has to define what success looks like and how to measure it. Someone still has to align cross-functional stakeholders on what that success actually means for a complex business metric. Someone still has to design the core data model. Someone still has to take ultimate accountability for a structural architectural choice that the entire downstream operation depends on. Each wave brought new tools and new hype. And every time, the teams that invested in clean data models and solid data architecture outperformed the ones that didn't. The fundamentals have a way of reasserting themselves. Through all these data waves, what’s the one data fundamental you have noticed that has stayed completely constant? #DataAnalytics #DataEngineering #AINativeData #DataLeadership #DataArchitecture
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Yian Chen liked thisYian Chen liked thisI am excited to share that I will be joining Moffitt Cancer Center in the summer as a tenure-earning Faculty Member in the Department of Biostatistics and Bioinformatics, and with faculty appointments at the Morsani College of Medicine, University of South Florida. Over the past several years, I have had the privilege of serving as a faculty member in Biostatistics at Northwestern University Feinberg School of Medicine and collaborating with outstanding colleagues across the Robert H. Lurie Comprehensive Cancer Center. I am especially grateful to my mentors, collaborators, students, and colleagues who have supported and inspired me along the way. Every project, manuscript, grant, and scientific discussion has contributed to the researcher and collaborator I am today. At Moffitt, I look forward to building an innovative research program at the intersection of biostatistics, clinical trials, causal inference, RWE, and AI to advance cancer research and improve patient outcomes. If you are a student, postdoc, clinician, or researcher who is interested in these areas, please feel free to reach out. I am always excited to discuss new ideas, and explore potential collaborations in developing innovative statistical methods and translating them into meaningful improvements in cancer care. Looking forward to this exciting new chapter! #Biostatistics #CancerResearch #ClinicalTrials #CausalInference #RealWorldEvidence #DataScience #Medicine
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Yian Chen liked thisI recently picked up the Ray-Ban Meta Scriber Optics (Gen 2) in Havana. Lightest AI glasses I've ever worn. You stop noticing they're there — which makes it easy to forget how hard they are to measure. This spring Meta launched a lot — new optical frames, neural handwriting input, developer platform opening Meta Ray-Ban Display to third parties and numerous software updates across the device collection. More hardware, more interactions, more complexity landing on the analytics side. Here is why that matters — five reasons physical AI analytics is a categorically different discipline from software analytics: One. Telemetry costs energy. On a small battery-powered AI wearable, every logged signal competes with the user experience. You can't measure everything. So you measure smarter. Two. No standard measurement playbook, especially for AI and input quality. Voice, gesture, neural input — nobody has defined what good looks like in binary terms. When the product is an AI experience with novel input modalities, quality becomes subjective, contextual, and continuous — not pass or fail. You end up needing AI to evaluate AI. Which is its own unsolved problem. Three. The thing you're measuring keeps changing. Model updates, new modalities, evolving interaction patterns. Your taxonomy is never stable. Four. The environment is uncontrolled. Same feature, different performance — walking versus sitting, quiet versus noisy, indoors versus outdoors. The signal and the experience are both affected simultaneously. Five. No clean funnel. Glasses to phone to neural interface — attribution spans devices and modalities. Add data governance constraints and you're working with categorically less signal. Not just different signal. Less. This is a new field. We are glad to be building the foundations while the concrete is still wet. Following are the links to learn more about the different Spring launches: * Neural Handwriting: https://lnkd.in/gsVMa5HV * Meta Ray-Ban Display developer preview: https://lnkd.in/gPtgxRmP * Ray-Ban Meta Optics: https://lnkd.in/g9SjBBHw #PhysicalAI #AIWearables #DataAnalytics #WearableTech #RayBanMeta #DataEngineeringYian Chen liked thisRay-Ban Meta Blayzer Optics and Ray-Ban Meta Scriber Optics (Gen 2), now available with Havana frame.
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Yian Chen liked thisYian Chen liked thisI'm leaving TRAE, and this is my last month at ByteDance. It's been a ride. Around this time last year, I was anxiously waiting for our first wave of paid users: rewriting the messaging again and again, building demos that somehow ate up all my laptop storage, shooting launch videos between two continents, wondering if people would actually like what we were building. A year later, TRAE has grown to millions of users worldwide. But every time I open my old laptop, it takes me right back to those early days. I went back and forth on this decision for a while. In the end it came down to what I want most - Instead of taking safe bets, I want to jump into the boiling ocean and craft something new. I don't know exactly where this next chapter leads, but the inner voice has become too loud to ignore. I want it to feel more alive, more honest, and more mine. So I'm taking a leap of faith into the unknown: to tinker, build, create, and follow the deeper current that keeps pulling me forward. I've had tremendous growth over the past few years. Very grateful for everyone who shaped this chapter! 💫 On to the next adventure ✌️
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Yian Chen liked thisYian Chen liked thisI’m excited to share that I recently graduated from NYU Stern School of Business with my MBA. For the past three and a half years, I completed this journey as a part-time student while continuing my full-time career. It meant many late nights, weekends, group projects, exams, and a lot of balancing between work, school, and personal life. Looking back, this journey was not only about earning a degree, but also about the people I met along the way. I’m grateful for the classmates, teammates, professors, and friends who made this experience so meaningful. I learned so much from people with different backgrounds, industries, and perspectives, and many of those relationships will stay with me well beyond graduation. I also want to thank my company, Three Wall Capital LLC for supporting me and providing the flexibility I needed to pursue this degree while continuing to grow professionally. During my time at Stern, I had the opportunity to take classes focused on some of the most important trends shaping our industry and the world, including AI in real estate, hospitality data analytics, and technology. These courses helped me apply new knowledge directly to my role in hotel asset management, especially in becoming more data-driven, improving analysis, and finding more productive ways to support hotel performance. As a hotelier, I believe our industry will continue to become more data-driven, and AI will help us move beyond simply working behind laptops and spreadsheets. It will allow us to spend more time focusing on people, strategy, operations, and the guest experience — the parts of hospitality that matter most. This MBA journey has been challenging, rewarding, and truly meaningful. I’m proud of this milestone and excited to continue applying what I’ve learned to the hospitality and real estate industries. #NYUstern #MBA #Hospitality #HotelAssetManagement #RealEstate #DataAnalytics #AI #HospitalityIndustry #Leadership
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Austin Duebel, Esq.
It's not you, it's them. Our next EB-1A approval got an RFE, despite looking excellent on paper. Our client is a Data Engineering Executive, and we went for 6 criteria: 1. Awards (1 submitted) 2. Published Material about the Client (3) 3. Judging (5) 4. Original Contributions (1) 5. Scholarly Articles (24) 6. Critical Role (3) The RFE gave us judging and scholarly articles and challenged the rest. The officer quoted the Policy Manual extensively, but then made requests that went beyond what the very text asked for - a straightforward inconsistency that we could poke holes in as we responded. Remember: every RFE response should (1) challenge the officer's assumptions and use of case law and (2) provide evidence to fulfill reasonable requests. For Awards, the officer claimed the accolade -must- be covered by the press. The Policy Manual gives plenty of alternatives that we met instead. For Published Material about the Client, the Badasa case was cited as a rationale for dismissing publications appearing online. We cited numerous AAO decisions showing USCIS's willingness to engage with online publications. A particularly juicy quote from the AAO -verbatim- refuted the officer's templated Badasa claim. For Original Contributions, the officer demanded that our client "MUST" submit independent, objective evidence in the form of "unsolicited materials reflecting their acclaim." We dug up -delectable- AAO and District Court decisions that rejected this mandate of "unsolicited" materials. For Critical Role, a templated critique was made with the subtext of "give me more." One more Letter of Recommendation was provided, but otherwise the previously submitted evidence was broken down on a granular level, allowing the officer to see how each role checked his boxes. RFE responses are not data dumps. They are not simple re-characterizations of evidence. They do not blindly give in to USCIS's demands. In today's climate, they must fight, they must -advocate- for you. If you don't challenge an officer's misguided assumptions, you doom your case to be denied based on them.
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