cardlytics > cardlytics Employee Directory > Wei-Chen Lin
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Wei-Chen Lin's Personal Email and Phone Number
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Wei-Chen Lin
Software Engineer III
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Location: Palo Alto, California, United StatesApprox. Years of Experience: 7
Wei-Chen Lin's Current Workplace
Cardlytics
Company Size
301-1000
Amount Raised
$212.6M
Cardlytics (NASDAQ: CDLX) is an advertising platform in banks' digital channels. We partner with financial institutions to run their banking rewards programs that promote customer loyalty and deepen banking relationships. In turn, we have a secure view into where and when consumers are spending their money. We use these insights to help marketers identify, reach, and influence likely buyers at scale, as well as measure the true sales impact of marketing campaigns. \n\nAt Cardlytics, we are analysts, developers, and data scientists. We are marketers, account managers, and consultants to our clients. We are all focused on making sense of the data we see to make it informative and actionable for our partners.\n\nHeadquartered in Atlanta, GA, with offices in London, New York, San Francisco, and Visakhapatnam, our team rallies around a common desire to win and to help our clients win. We are focused on building a revolutionizing company, but we still care about each other as human beings, and in fact, we know this is a big part of what makes us great. For more information, visit www.cardlytics.com.
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Notable Investors
Aimia, ITC Holdings, Polaris Partners, TTV Capital, Canaan Partners
Marketing
Ad Network
Ad Targeting
Loyalty Programs
Digital Marketing
Predictive Analytics
Experience
Cardlytics
Jul 2022 - Present
Software Engineer III
Apr 2024 - Present
1 yr 2 mos
Software Engineer II
Jul 2022 - Apr 2024
1 yr 10 mos
Software Engineer Intern
TSTI · Internship
Jun 2020 - Aug 2020
3 mos
◆ Developed deep learning algorithm to improve breast cancer detection on screening mammography ◆ Operated NVIDIA CUDA accelerated library on JupyterHub ◆ Utilized pre-trained Inception V3 CNN model with Python and TensorFlow which achieved 79% classification accuracy ◆ Preprocessed datasets by using CLAHE / HE / TopHat for digital image processing to augment data ◆ Adjusted hyperparameters including optimizer, learning rate, and weighted decay to fine-tune model ◆ Modified model architectures by freezing, global average pooling, and batch normalization
Penn Biotech Group Healthcare Consulting - Technical Team Member
The Wharton School · Contract
Jan 2020 - May 2020
5 mos
◆ Conducted market research for large pharmaceutical company to find in-licensing and collaboration opportunities in UK area ◆ Performed extensive research in nephrology market and analyzed new gene therapies used in local UK biotech companies
Bio-Recognition Engineering Lab - Research Assistant
National Central University · Full-time
Sep 2016 - Jan 2019
2 yrs 5 mos
◆ Advisor: Prof. Wen-Yih Chen ◆ Research Project: “Site-specific Methyl-phosphotriester (MPTE) Linkages Modification for Single Nucleotide Polymorphism (SNP) Discrimination on GC-rich Target Nucleotides.” ◆ Used chemically synthesized oligonucleotides containing site-specific MPTE inter-nucleoside linkage(s) as primers and GC-rich miRNA nucleotides as templates. ◆ Enhanced melting temperature difference (ΔTm) between primers and template in reverse transcription-PCR to improve PCR/qPCR single nucleotide polymorphism discrimination. ◆ Separated Rp and Sp diastereomers of methylated DNA using C18 reverse-phase HPLC column. ◆ Mentored and supervised 2 undergraduate students on their bachelor’s research projects.
Education
  • 2019 - 2022
    University of PennsylvaniaMaster's degree, Computer and Information Technology
  • 2019 - 2022
    University of PennsylvaniaMaster of Science - MS, Chemical and Biomolecular Engineering
  • 2018 - 2018
    The Hong Kong University of Science and TechnologyExchange, Chemical and Biological Engineering
  • 2014 - 2018
    National Central UniversityBachelor of Engineering - BE, Chemical and Materials Engineering