---
title: "Sha Cao - PhD Student at NJIT | LinkedIn"
url: https://stacklist.com/card/9f6dd08a-3f2f-4d59-b022-d7e8fdcb44aa
source_url: "https://www.linkedin.com/in/holly-cao"
stack: https://stacklist.com/stack/e0463f3f-bab9-45b3-b8fc-afe7976b7fcc
summary: "Sha Cao is a PhD student at New Jersey Institute of Technology focused on improving efficiency in Monte Carlo algorithms, with connections to the University of Chicago. Their recent activity highlights attendance at NVIDIA GTC and AI Loves Data NYC events, sharing insights on robotics innovations and AI governance in financial corporations."
tags: "linkedin-profile, phd-student, monte-carlo-algorithms, robotics, artificial-intelligence, nvidia-gtc, distributed-systems"
key_entities: "Sha Cao (person), New Jersey Institute of Technology (organization), University of Chicago (organization), NVIDIA (organization), NVIDIA GTC (event), AI Loves Data NYC (event), S&P Global (organization), Monte Carlo algorithms (concept), robotics (concept), New York, New York (location), LinkedIn (organization)"
classification: "reference"
content_hash: "sha256:cb5a2715afc995732183d025f6b83bc646ca8bd4d53c31604b39ce276540c285"
acp_version: "0.2"
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status: "final"
---

# Sha Cao - PhD Student at NJIT | LinkedIn

Sha Cao Sign in to view Sha’s full profile Sha can introduce you to 10+ people at New Jersey Institute of Technology Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . New York, New York, United States Contact Info Sign in to view Sha’s full profile Sha can introduce you to 10+ people at New Jersey Institute of Technology Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . 285 followers 278 connections See your mutual connections View mutual connections with Sha Sha can introduce you to 10+ people at New Jersey Institute of Technology Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Join to view profile Message Sign in to view Sha’s full profile Sha can introduce you to 10+ people at New Jersey Institute of Technology Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . New Jersey Institute of Technology University of Chicago Personal Website Report this profile About I'm a PhD student trying to improve efficiency in algorithms that are used in Monte Carlo… see more Welcome back Email or phone Password Show Forgot password? Sign in or By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . New to LinkedIn? Join now Activity 285 followers Posts Comments Reactions No more previous content Sha Cao Sha Cao 2w Report this post Sha Cao shared this A fruitful day at AI Loves Data NYC at the S&P Global office. I enjoyed learning from the industry experts about optimizing AI use in big financial corporations and about AI governance. #ALDNYC public_profile__posts 6 Copy LinkedIn Facebook X Sha Cao Sha Cao 2mo Report this post Sha Cao shared this Just got back from an incredible time at NVIDIA GTC I spent the past few days exploring a wide range of emerging technologies, and what stood out to me (except for playing with clawbots) is robotics demos — and honestly, what stood out most wasn’t just the tech itself, but the diversity of ideas behind it. From highly functional industrial systems to creative, almost playful designs, it’s clear that robotics is no longer moving in just one direction — it’s branching into many. Different teams are solving different problems, with completely different approaches, and that’s what makes this space so exciting right now. Being an algorithm researcher and a biomechanic nerd on the side, I do not have a deep dive experience into robotics. But in many ways, robotics today feels like early distributed systems or streaming algorithms research — multiple competing abstractions, each optimizing for different constraints (latency, robustness, scalability, cost). Some noteworthy designs that I found include hydrolic "muscle" system and ball-and-socket abstraction of body parts. I put together a short video from clips I took throughout GTC — a glimpse into the variety of robots and concepts that caught my attention. Just wanted to share it here in case anyone appreciates the sector development as much as I do. Note: I wasn’t able to capture all company names for the demos shown here — if you see your system in the video, feel free to tag your team or drop a note. Would love to learn more about the work behind it. Do you think most of the robots should get close to adapting the shape of humans as much as possible? Or is there any particular abstraction that you feel enthusiastic about? Feel free to comment below #NVIDIAGTC #Robotics #AI #Innovation #Tech #SystemsResearch #Autonomy public_profile__posts 15 Copy LinkedIn Facebook X Sha Cao Sha Cao 2mo Report this post Sha Cao posted this Just arrived at NVIDIA GTC in San Jose! Excited to spend the next few days learning about the latest in AI, accelerated computing, and data science. If you're attending as well, I’d love to connect and exchange ideas. Feel free to message me if you’d like to meet up during the conference! #NVIDIAGTC #AI #MachineLearning #DataScience #Networking 10 Copy LinkedIn Facebook X Sha Cao Sha Cao 5mo Report this post Sha Cao shared this I was pleased to present our work on the efficiency of quantile and CVaR computation at the Winter Simulation Conference 2025. In this paper, we study the computational performance of various sorting and selection methods for estimating quantiles and Conditional Value-at-Risk (CVaR)—two of the most widely used risk measures in risk management and simulation-based analysis. We focus on settings where simulation data has already been generated and conduct timing experiments on computing risk measures over existing datasets. Combining numerical experiments, approximate analyses, and existing theoretical results, we show that selection-based approaches generally outperform full sorting. However, the fastest selection strategy depends on several practical factors, which we analyze and discuss in detail in the paper. Grateful for the opportunity to share this work and engage with the simulation and risk analysis community at WSC 2025. public_profile__posts 20 1 Comment Copy LinkedIn Facebook X Sha Cao reposted this Report this post Sha Cao reposted this Tessa Manuszak Tessa Manuszak 5mo Sha Cao reposted this AI BUILDERS DAY!! Great meeting you! 🙌 Sha Cao , Kelly Chou, Fanxi Chen , Tong（Amanda） Liu public_profile__posts 9 Copy LinkedIn Facebook X Sha Cao Sha Cao 6mo Report this post Sha Cao posted this Happy to announce that I passed the qualifying exam for the NJIT Computer Science PhD program, and looking forward to speaking about our paper at World Simulation Conference next week 8 Copy LinkedIn Facebook X Sha Cao Sha Cao 3y Report this post Sha Cao posted this I'm happy to announce the beginning of my journey at Loop Capital working as a Fixed Income Repo Sales intern! Met some really friendly and talented people yesterday at orientation, can't wait to get to work with them ^-^ 7 Copy LinkedIn Facebook X No more next content Slide to item 1 Slide to item 2 Slide to item 3 Slide to item 4 Slide to item 5 Slide to item 6 Slide to item 7 Sha Cao commented on a post 2mo Thanks for leading us to be curious learners 💚 David Nola you were so helpful and knowledgeable, thanks for giving us the mini class! Sha Cao commented on a post 12mo Great conversation, I truly enjoyed it! No more previous content Sha Cao liked this Report this post Greg Spektor Greg Spektor 3w Sha Cao liked this Come join us tonight. This event is filling up fast. :) The AI Alliance The AI Alliance 4w Sha Cao liked this Coding agents are still mostly single-player. They complete tasks. They open repos. They generate code. They summarize context. But they do not yet carry durable, shared memory across teams, tools, repositories, and workflows. That gap is becoming one of the most important infrastructure problems in AI. Not “how do we prompt better?” But: How do agents remember? How do teams govern that memory? How does context move across repos without becoming locked inside one vendor’s stack? How do knowledge bases become living systems instead of static documentation? That is the conversation we’re bringing to NYC. AI Alliance NYC is hosting LLM Knowledge Bases, AI Memory, and more as part of AI Week NY. We’ll dig into: • Semiont, a human + AI collaborative context engineering and agent memory platform • Personal wikis that serve Git repositories as annotated knowledge bases • Portable semantic annotations built on open standards • Control planes for agent memory across workflows and repositories • What it means to keep AI memory interoperable, self-hosted, and user-owned This is for builders, researchers, founders, engineers, and technical leaders thinking beyond demos and toward durable AI systems. 📍 1 Madison Ave, NYC 🕔 5:00–7:30 PM Hosted by AI Alliance NYC, Dave Nielsen , Greg Spektor , and Pulse NYC. Registration link in comments. #AIAlliance #AIWeekNY #AIMemory #AgenticAI #LLM #OpenSourceAI #KnowledgeEngineering #ContextEngineering public_profile__reactions 13 Copy LinkedIn Facebook X Sha Cao reacted on this Report this post Sha Cao reacted on this Christina Nguyen Blue Christina Nguyen Blue 2mo Sha Cao reacted on this It’s 6 PM. NVIDIA GTC just wrapped. And I’m sitting here with an NVIDIA Spark installed and ready to go. This week was one of those rare experiences where every single conversation elevated my thinking. The sessions were world class. The connections were real. The energy in that room reminded me why I do this work at the intersection of executive strategy and AI. But the moment that will stay with me longest happened this afternoon. I met David Nola at the NVIDIA booth and the man is a gem. From 2 PM to 5 PM on the last day of a packed conference, he answered every question I had. Every single one! That kind of generosity is rare and it matters. Thank you again David!! You represent NVIDIA brilliantly.👏🔥 Here is what I walked away with beyond the hardware: AI is not the strategy. It never was. The executives and consultants who will win in the next three years are the ones who know how to architect decisions around it, not just deploy it. I am already mapping how the NVIDIA Spark fits into the work I do with my clients and across my brands. The infrastructure is one thing. The thinking behind how you use it is everything. To the executives and AI consultants in my network: what was your biggest insight from GTC this year? And if you were not there, what question do you wish you had been able to ask? Drop it below. I will answer what I can. #DavidNola #NVIDIAGTC #AIStrategy #ExecutiveAdvisory #AIConsulting #BusinessArchitecture #NVIDIASpark #ChristinaBlue #AILeadership #StrategicClarity public_profile__reactions 19 8 Comments Copy LinkedIn Facebook X Sha Cao reacted on this Report this post Sha Cao reacted on this Tao Yu Tao Yu 2mo Sha Cao reacted on this Interested in seeing high resolution tactile and what it enables a super dexterous hand tracing a cable with physical AI? Come see us at GTC Booth #3203 in Grand Ballroom! public_profile__reactions 243 8 Comments Copy LinkedIn Facebook X Sha Cao reacted on this Report this post Sha Cao reacted on this Erwann Simon Erwann Simon 2mo Sha Cao reacted on this Great evening this week with the robotics community in SF! A big thank you to Foxglove for organizing such a great event and giving us the opportunity to bring one of our robots. It was a pleasure to show what we’re building and see the reactions in the room. Also many thanks to Silicon Valley Robotics for co-organizing the event and helping bring together so many people from the local ecosystem. Our robots are always happy to meet new people in the Bay Area. Looking forward to the next one 🤖 public_profile__reactions 90 2 Comments Copy LinkedIn Facebook X No more next content Slide to item 1 Slide to item 2 See all activities Experience & Education *]:mb-0 text-[18px] text-color-text leading-regular group-hover:underline font-semibold"> New Jersey Institute of Technology *]:mb-0 not-first-middot leading-[1.75]"> *** ******* *]:mb-0 [&>*]:text-md [&>*]:text-color-text-low-emphasis"> *]:mb-0 text-[18px] text-color-text leading-regular group-hover:underline font-semibold"> ******** *]:mb-0 not-first-middot leading-[1.75]"> ******* ******** ****** *]:mb-0 [&>*]:text-md [&>*]:text-color-text-low-emphasis"> *]:mb-0 text-[18px] text-color-text leading-regular group-hover:underline font-semibold"> **** ******* *]:mb-0 not-first-middot leading-[1.75]"> ***** ****** **** ***** ****** *]:mb-0 [&>*]:text-md [&>*]:text-color-text-low-emphasis"> *]:mb-0 text-[18px] text-color-text leading-regular group-hover:underline font-semibold"> ********** ** ******* *]:mb-0 not-first-middot leading-[1.75]"> ****** ** ******* * ** ********* *********** undefined *]:mb-0 [&>*]:text-md [&>*]:text-color-text-low-emphasis"> 2021 - 2022 *]:mb-0 text-[18px] text-color-text leading-regular group-hover:underline font-semibold"> *** **** ********** *]:mb-0 not-first-middot leading-[1.75]"> ******** ** **** * ** ******** ******* ******** ****** ******* ******** ******** ******* ******* *]:mb-0 [&>*]:text-md [&>*]:text-color-text-low-emphasis"> 2017 - 2021 View Sha’s full experience See their title, tenure and more. 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Strategies *]:mb-0 not-first-middot leading-[1.75]"> FINM 3315 *]:mb-0 [&>*]:text-md [&>*]:text-color-text-low-emphasis"> *]:mb-0 text-[18px] text-color-text leading-regular group-hover:underline font-semibold"> Statistics, Regression and Forecasting Models *]:mb-0">- *]:mb-0 [&>*]:text-md [&>*]:text-color-text-low-emphasis"> *]:mb-0 text-[18px] text-color-text leading-regular group-hover:underline font-semibold"> Time-Series Analysis for Forecasting and Model Building *]:mb-0 not-first-middot leading-[1.75]"> STAT 335 *]:mb-0 [&>*]:text-md [&>*]:text-color-text-low-emphasis"> *]:mb-0 text-[18px] text-color-text leading-regular group-hover:underline font-semibold"> Urban Economics *]:mb-0">- *]:mb-0 [&>*]:text-md [&>*]:text-color-text-low-emphasis"> *]:mb-0 text-[18px] text-color-text leading-regular group-hover:underline font-semibold"> Web Development *]:mb-0">- *]:mb-0 [&>*]:text-md [&>*]:text-color-text-low-emphasis"> Languages *]:mb-0 text-[18px] text-color-text leading-regular group-hover:underline font-semibold"> 中文 *]:mb-0 not-first-middot leading-[1.75]"> Native or bilingual proficiency *]:mb-0 [&>*]:text-md [&>*]:text-color-text-low-emphasis"> *]:mb-0 text-[18px] text-color-text leading-regular group-hover:underline font-semibold"> English *]:mb-0 not-first-middot leading-[1.75]"> Native or bilingual proficiency *]:mb-0 [&>*]:text-md [&>*]:text-color-text-low-emphasis"> *]:mb-0 text-[18px] text-color-text leading-regular group-hover:underline font-semibold"> Spanish *]:mb-0 not-first-middot leading-[1.75]"> Limited working proficiency *]:mb-0 [&>*]:text-md [&>*]:text-color-text-low-emphasis"> *]:mb-0 text-[18px] text-color-text leading-regular group-hover:underline font-semibold"> German *]:mb-0 not-first-middot leading-[1.75]"> Elementary proficiency *]:mb-0 [&>*]:text-md [&>*]:text-color-text-low-emphasis"> View Sha’s full profile See who you know in common Get introduced Contact Sha directly Join to view full profile Other similar profiles Michael 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It shows how elite finance quickly turns young engineers’ ideas into profit. 34 Quant Grad 9K followers Quant Grad is collaborating with Mehul Mehta to host a detailed webinar on MFE/MQF admissions and quant careers in the USA. Applying to top quantitative finance programs can be confusing from exams and prerequisites to SOPs, visas, projects, and recruiting. In this session, we will break down the entire process step-by-step with practical insights from both admissions and industry perspectives. We will cover: 1) Exams and prerequisites required for top MFE programs 2) How to shortlist universities strategically and identify programs that truly matter for quant careers 3) Why even strong candidates get rejected from top MFE programs 4) SOP, LOR, Resume, Financial Essay and complete documentation process 5) Visa process and common mistakes students make during applications 6) Skills, projects, and preparation expected before joining an MFE 7) Career opportunities, internships, networking, and quant recruiting in the USA This webinar is designed for students and professionals interested in careers in quantitative finance, trading, derivatives, market risk, and financial engineering. Registration Link: https://lnkd.in/gUCzGKhy If you are targeting Fall 2027 admissions or exploring a transition into quant finance, this session will help you understand the process realistically beyond rankings and generic advice. 18 M-Cube Technologies Inc 21 followers Beyond Correlation: A New Paradigm for Multi-Asset Market Simulation Pleased to share a breakthrough in our research on market simulation. For decades, quantitative finance has relied on models that, while mathematically elegant, often fail to capture the complex, regime-shifting nature of real-world asset interactions. Standard Monte Carlo methods, bound by static correlation matrices, struggle to reproduce the rich tapestry of market behavior—from sector rotations to sudden volatility shocks. We've developed a new, non-parametric simulation framework that moves beyond these limitations. By treating market history as a high-dimensional state space, our engine generates paths that preserve the deep, structural dynamics and path-dependencies seen in reality. The result is a far more realistic "digital twin" of the market, capable of generating scenarios that traditional models would deem impossible. This provides a much more robust environment for developing and stress-testing the next generation of autonomous trading strategies. The future of alpha generation lies not just in better strategies, but in better environments to discover them. #QuantitativeFinance #AI #FinTech #MarketSimulation #AlphaGeneration Quantum Zeitgeist 18K followers Quantum Algorithms Speed up Financial Modelling Beyond Standard Industry Benchmarks Researchers have developed new algorithms that substantially accelerate the pricing of complex financial derivatives, achieving quadratic speedups for commonly used models like Cox-Ingersoll-Ross and a variant of Heston’s stochastic volatility through innovative sampling techniques and improved numerical integration analysis. #quantum #quantumcomputing #technology https://lnkd.in/eSqj2ZMe Duke Master in FinTech 1K followers Exciting First Week at Duke! In Professor Jake Vestal's Quantitative Finance class, students traded options contracts in a live trading pit based on a piece of gold falling through a simulated cybernetic Plinko board! The exercise's purpose was to demystify options pricing by providing a visual, physical model for the price behavior of a risky asset. The coin’s “bounciness” stood in for volatility, and a drift term's influence was represented by a “wind” that gently nudged the coin along in a specified direction. Students traded call and put options on “doubloons,” an imaginary asset whose price was defined by pegs that the simulated coin hit as it fell through the board. The classroom quickly transformed into a vibrant trading pit, with students shouting bids and asks, developing their intuition for pricing, implied volatility, and risk management! This immersive approach builds students' intuition for the parameters of the Black-Scholes framework, but it also acts as a great way for the next generation of FinTech leaders to break the ice and meet each other at the start of a new semester! #DukeFinTech #FinTech #BlackScholes #Derivatives #FinanceEducation 19 1 Comment Databento 21K followers Thanks to IBKR Quant for sharing our matching engines cheatsheet! This guide is intended for traders, researchers, and engineers who are involved in algorithmic trading. It’s also useful for network and systems engineers who are making their first foray into financial trading infrastructure. These are key terms that you’ll find useful in navigating colocation and server hosting for a trading system, and also in describing how your system interacts with a trading venue’s matching engine. Check it out at the link in the comments 👇 23 1 Comment Across Careers, LLC 131 followers After reviewing resumes for 12yrs, I posted an article summing up the biggest mistakes I see on quant resumes. Here are the 3 most common mistakes I see on resumes: this advice applies across careers (get it?). Mistake 1: Focusing on the wrong content. The fix: • Focus on role-specific skills, especially found in the job posting. • Cut what’s not relevant. Mistake 2: Over-stuffing your resume with technical keywords. The fix: • Specify what you did, • How you did it (techniques/methods/tools), • And what was the outcome / why did it matter? Mistake 3: Lack of metrics/data to prove you know what you’re doing. The fix: • Identify relevant & meaningful metrics (ChatGPT can provide great examples) • Use data to share scope, scale, & impact. • Estimates are fine when you don’t have exact numbers but be REALISTIC. REMINDER: Anything you put on your resume, you should be able to discuss in detail during the interview. But your resume does NOT need to include every example or detail. It’s like the trailer and the interview is the movie. If you find this helpful, feel free to • book a consult, • a coaching session, • or, if you're a quant, check out the full article on QuantNet and sign up for one of my Quant Resume Labs here: https://lnkd.in/eH5xsirY #JobSeekers #Resume #ResumeWriting #JobSearch #CareerChangers #GradStudents #DataScience #QuantFinance #ML Master of Mathematical Finance Program at University of Toronto 2K followers What can you do with a Mitacs Business Strategy Internship (BSI) grant? PICTON Investments hired a quant researcher from #MMFUofT who developed alpha strategies using #NLP and #LLMs to analyze textual data. https://lnkd.in/gHBgqbCA 4 Pennsylvania NY NJ Biotech Networks Jobs 1K followers Bloomberg Intelligence Biotech Equity Research Analyst – New York, NY https://lnkd.in/gMVwYwVB Companies are the backbone of the stock and bond markets. Bloomberg Intelligence (“BI”) conducts in-depth research on small and midsize companies to help stock and bond investors effectively evaluate those companies. We analyze the unique [...] #biotech #jobs Forecasting MDPI 412 followers 📢 New Publication in Forecasting! 📖 From Market Volatility to Predictive Insight: An Adaptive Transformer–RL Framework for Sentiment-Driven Financial Time-Series Forecasting ✍️ Authors: Zhicong Song, Harris Sik-Ho Tsang, Richard Tai-Chiu Hsung, Yulin Zhu & Wai-Lun Lo This study introduces an adaptive Transformer–Reinforcement Learning framework to improve forecasting of financial time series using market sentiment, offering new predictive insights for volatile markets. 🔗 Read the full article: https://brnw.ch/21wXMbQ #Finance #TimeSeriesAnalysis #MachineLearning #Transformers #ReinforcementLearning #SentimentAnalysis 1 Asteris AI 388 followers 📊 RESEARCH: PRICING AI IN DYNAMIC MARKETS A new paper on arXiv, "Learning to Price: Interpretable Attribute-Level Models for Dynamic Markets," offers a breakthrough for the finance and e-commerce sectors. The research focuses on: • Developing AI models that are not only accurate but also "interpretable." • Understanding how specific attributes drive price changes in real-time markets. • Improving the transparency of automated pricing systems. As dynamic pricing becomes more common, the need for models that humans can understand and audit is becoming a regulatory and business necessity. Could interpretable AI pricing help rebuild consumer trust in automated systems? Sources: - https://lnkd.in/eRdjCnj9 #MachineLearning #Finance #AI #DynamicPricing #DataScience Joe W. Sony • 458 followers Rubner turns tactically bullish: sentiment is washed out, retail dip-buying stays strong, and crowded hedges mean any easing in Middle East risk could spark a quick bounce. Actually it is happening now, time to play~ 1 Alpha Papers 94 followers Attention models can boost stock returns and manage risks during market turmoil. 💡 Models achieved up to 2.0 Sortino ratio, enhancing returns and stability during volatile periods like COVID-19. 🇬🇧 Arxiv paper: 📄 https://lnkd.in/exuW4Rmq Author: Shanyan Lai University of York #QuantFinance #PricingofSecurities #arXiv Alpha Papers 94 followers New model captures asymmetric trading impacts using advanced math. 💡 Better volatility predictions could enhance trading algorithms, potentially increasing returns by optimizing buy/sell strategies. 🇮🇳 Arxiv paper: 📄 https://lnkd.in/enYp7vic Author: Priyanka Chudasama, Srikanth Krishnan Iyer Indian Institute of Science #QuantFinance #StatisticalFinance #arXiv Show more posts Show fewer posts Explore top content on LinkedIn Find curated posts and insights for relevant topics all in one place. View top content Others named Sha Cao in United States Sha Cao Athens, GA Sha Cao United States 曹杉 San Diego, CA 曹杉 Irvine, CA 4 others named Sha Cao in United States are on LinkedIn See others named Sha Cao Add new skills with these courses 1h 54m Introduction to Spark SQL and DataFrames 5h 20m RAG, AI Apps, and AI Agents for Cybersecurity and Networking 1h 37m SQL for AI Projects: From Data Exploration to Impact See all courses