ScreenedIdentity Verified
No cost, no commitment - we'll make a personal intro
LT

Li Tang

Staff HPC researcher specializing in heterogeneous systems and AI accelerator co-design

Los Alamos National LaboratoryUniversity of Notre DameLos Alamos, NM9 Years ExperienceStaff Level

Connect with Li

Li already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.

Typically responds within 24 hours

Recommended

Already have an account?

About

Aspiring founder exploring a deep-tech startup at the intersection of HPC and AI, focused on tightly integrated systems that generate high-quality simulation data for applications like drug discovery and weather prediction. They appear especially motivated by unmet market opportunities and take a pragmatic view of startup risk, prioritizing ideas with strong growth potential that can become real within five years.

Hire with Reval

Find your next great hire

Our AI agents source, screen, and vet candidates for your open roles. Get qualified candidates within 48 hours.

$250one-time kickoff
10%on successful hire
Post a Role90-day money-back guarantee

Key Strengths

  • clear deep-tech startup vision in HPC and AI
  • focus on tight integration between simulation and AI workflows
  • emphasis on high-speed, high-quality data generation
  • pragmatic go-to-market thinking with small initial customer focus
  • evaluates ideas based on feasibility and near-term market potential
  • targets high-impact sectors like drug discovery and weather prediction

Like what you see? We'll introduce you to Li directly.

Experience

Staff ScientistLos Alamos National Laboratory · Dec 2018 – Present
Research AssociateBrookhaven National Laboratory · May 2017 – Nov 2018
Research InternSandia National Laboratories · Mar 2012 – Dec 2012internship

Education

University of Notre Damedoctorate, Computer Science and Engineering (2017)
Huazhong University of Science and Technologybachelor, Computer Science (2009)
Huazhong University of Science and Technologymaster, Computer Science (2009)

Awards

  • ExHET 2023 Best Paper
  • ISAV 2021 Best Paper Award
  • 3 best paper awards

Skills

Languages

English

Publications

20 publications

High-Performance ComputingArtificial IntelligenceHardware/Software Co-designHeterogeneous SystemsPerformance and Energy OptimizationGPU ComputingAI AcceleratorsClimate ModelingExtreme Weather PredictionMolecular DynamicsCPU Architecture

Browse Similar

Similar Candidates

MM

Mason McBride

Screened

Junior Software Engineer specializing in AI, game theory, and blockchain protocols

Los Angeles, CA2y exp
All In BitsUC Berkeley

Backend engineer who built gnocal, a ~150-line stateless Go service that turns on-chain event data into standards-compliant .ics calendar feeds consumable by Apple/Google Calendar, deployed on Fly.io. Also refactored MCTS into Monte Carlo Graph Search (Python-to-Rust) using deterministic tests and state canonicalization to handle transpositions, and implemented decentralized role-based ACLs in Gno for a smart-contract web hosting network (gno.land / All in Bits).

View profile
PS

Director-level Operations & Product Operations leader in biotech and advanced manufacturing

Dublin, CA13y exp
FreelanceIllinois Institute of Technology

Operations/strategy leader who owned a founder-level turnaround at Bolt Threads, rescuing and scaling a failing business unit through ERP + S&OP implementation, operating model redesign, and cross-functional KPI-driven execution. Achieved a 97% COGS reduction, enabled repeatable production at scale, and supported investor diligence and SPAC readiness by creating a credible operating narrative.

View profile
Julie Rice - Director-level Lab Operations & Facilities Leader specializing in life sciences startups in San Francisco, CA

Julie Rice

Screened

Director-level Lab Operations & Facilities Leader specializing in life sciences startups

San Francisco, CA20y exp
FreelanceUC Berkeley

Independent biotech operations consultant and former biotech operations director who specializes in standing up startup lab operations end-to-end—facility buildouts, equipment procurement, and workflow/SOP implementation. Known for building clear operating rhythms (SMART/RACI, dashboards in MS Project/Smartsheet) and driving cross-functional execution; previously centralized R&D procurement at Abbvie/Pharmacyclics to cut PO processing time by 40%.

View profile
EC

Senior Scientific Customer Success & Technical Account Manager in Biopharma SaaS

18y exp
GenedataUC Davis
View profile
NC

Nightvid Cole

Screened ReferencesStrong rec.

Senior Computer Vision & Sensor Algorithms Engineer specializing in imaging systems

Saratoga, CA7y exp
Early-Stage StartupUniversity of Maryland, College Park

Robotics/remote-sensing software engineer who built and validated multisensor image-processing and spectral chemical-detection pipelines (RX anomaly detection, ACE), including calibration protocols with a motorized shutter and rigorous data QC. Uses white-box NumPy simulators to debug SLAM/registration issues before translating logic to C++, and partnered with hardware teams to solve temperature-driven signal variation via combined software calibration and improved thermal management.

View profile
BL

Junior Procurement & Supply Chain professional in life sciences and product development

Warren, NJ3y exp
Bristol Myers SquibbUniversity at Buffalo
View profile

Interested in Li?

We'll personally introduce you - no strings attached.

For Hiring Teams

Build your dream team with Reval

Our AI agents source, screen, and vet candidates for your open roles. Get qualified, high-intent candidates on your desk within 48 hours.

$250one-time kickoff
10%on successful hire
48hrsto first candidates
Post a Role90-day money-back guarantee. A fraction of traditional agency fees.

Discover more candidates like Li

Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.

Search Talent

Connect with Li

Li already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.

Typically responds within 24 hours

Recommended

Already have an account?

Hire with Reval

Find your next great hire

Our AI agents source, screen, and vet candidates for your open roles. Get qualified candidates within 48 hours.

$250one-time kickoff
10%on successful hire
Post a Role90-day money-back guarantee
Li TangStaff HPC researcher specializing in heterogeneous systems and AI accelerator co-design