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開催日: 2026年9月1日

開催時間: 1:30 – 5:10 pm​

開催場所: Seoul, Korea

概要

Join us in Seoul, Korea for a half-day, on-site event dedicated to new PK/PD with Phoenix Cloud and pharmacometrics modeling & simulation.​

​Discover how the latest Phoenix Cloud innovations, advanced modeling capabilities, and real-world case studies help improve workflow efficiency and support decision making.

ワークショップで体験できること

  • Learn from case studies – Discover the latest pharmacometrics and machine learning approaches shaping drug development.​
  • Explore Phoenix Cloud – See [specific new feature/capability] and how it’s transforming PK/PD workflows. ​
  • Connect with local experts – Build relationships with pharmacometricians across Korea’s pharma and biotech organizations.

お申込みはこちら


こんな方にお薦めです

  • Pharmacometricians or Phoenix Cloud/Desktop users in Pharma or Biotech​

※本イベントは、製薬、バイオテクノロジー、またはCROの業界関係者の方を対象としております点あらかじめご了承ください。座席数に限りがあるため、今回は大学・学術関係者の皆様はお申込みをお控えいただけますようお願い申し上げます。​

概要

  • 日時:1:30 – 5:10 pm​, 2026年9月1日 (火曜日)​
  • 開場:1pm​
  • 会場:aT Center Saegero Room​, 3rd floor​
  • 参加費:無料
  • 注記:Parking is available on-site at your own expense.

アジェンダ

13時00分
開場、受付開始
13時30分
開会のご挨拶
13時35分
Phoenix Cloud New Functions and Visions, Powered by AI
14時25分
Phoenix NLME Model Designerの紹介 [英語講演]
14時45分
休憩
15時00分
T&J TECH Sparse Sampling Population PK Modeling - A Practical Comparison of FOCE ELS and QRPEM in Phoenix NLME
15時30分
BITEK CHEMS inc. – Phoenix IVIVC
16時00分
休憩
16時15分
Case Studies – Certara’s Pharmacometrics Services
16時45分
User Feedback & Discussions
17時05分
閉会のごあいさつ

講演者

Simon Davis, Senior Application Scientist, Certara
Simon Davis

Senior Application Scientist​

Originally working in a Phase I CRO as a Clinical Technician, Data Manager and then Pharmacokineticists, Simon has spent the last 25+ years supporting and training Scientists on PK tools, WinNonlin IVIVC and NLME. ​

He helps them in improving their use of the tools to have more efficient workflows including working with related repositories owned by other parts of the organization.​

Sung-yoon Yang, Ph.D.

Assistant Manager / R&D Software Team, T&J TECH Inc. ​​

Dr. Sung-yoon Yang earned his Ph.D. in Pharmacy from Chungnam National University, where he specialized in Pharmacometrics and Pharmacokinetics. His research interests include Population PK/PD Modeling, Physiologically Based Pharmacokinetic (PBPK) Modeling, and PK/PD analysis. He has led multiple research projects and authored several publications in these fields.​

He is currently with T&J TECH, where he provides technical support and professional training for Certara’s PK/PD software platforms, including Phoenix WinNonlin, Phoenix NLME, Phoenix IVIVC Toolkit, and Pirana.​

KyeongSeok Hong

Assistant Manager / Software Division, BITEK CHEMS inc.​

KyeongSeok Hong graduated from Hanyang University with a degree in Computer Science and Engineering and joined BITEK CHEMS inc. in 2012. He currently oversees research support solutions within the Software Division.​

Since joining the company, he has worked as an Electronic Lab Notebook (ELN) engineer, providing customized consulting, user training, and technical support tailored to various clients’ research environments.​

As an official partner of Certara, he is also in charge of technical support and regular training for specialized areas, including Phoenix Platform–based PK parameter analysis, simulation, NLME, and the IVIVC Toolkit.​

Jihyun Jeon, PhD

Scientist, Clinical Pharmacology and Translational Medicine, Certara Drug Development Solutions​

Jihyun Jeon, PhD, has over 5 years of experience in pharmacometrics and model-informed drug development. She is currently a Scientist in Clinical Pharmacology, Certara Drug Development Solutions group, where she supports clinical pharmacology and translational modeling projects.​

She previously worked at Hanmi Pharmaceutical and later contributed as a consultant with Certara’s Korea team, supporting client-facing modeling and simulation activities and training initiatives. Her expertise includes population PK and exposure response modeling for early phase clinical trial, PBPK modeling for drug–drug interaction prediction, model-based meta-analysis, translational PK modeling for first-in-human dose selection.​

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