Kai Wang

VP of Engineering

San Diego, California, United States19 yrs 9 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

17+ years in AI/ML and Oncology.
Expert in driving drug discovery and translational research.
Passionate about data-driven solutions in cancer treatment.

Stackforce AI infers this person is a leader in Healthcare, specializing in Oncology and AI-driven drug discovery.

Contact

Skills

Core Skills

OncologyDrug Discovery

Other Skills

AITranslational ResearchPredictive BiomarkersCollaborationAutomationComputational BiologyMachine LearningHematologyBioinformaticsGenomicsCancerGeneticsMolecular BiologyBiomarkersBiostatistics

About

With 17+ years of experience in AI/ML and Oncology, my work bridges cutting-edge AI innovation with translational research, advancing the discovery of new therapies and enabling clinical impact. Passionate about leveraging data-driven solutions, I am committed to driving scientific excellence and fostering collaboration to accelerate advancements in cancer treatment.

Experience

19 yrs 9 mos

Total Experience

4 yrs 6 mos

Average Tenure

6 yrs 2 mos

Current Experience

Iambic

Vice President, Head of Translational Oncology

May 2026 – Present · 0 mo

Bristol myers squibb

3 roles

Executive Director

Promoted

Mar 2024 – Present · 2 yrs 2 mos

Senior leadership in the global Informatics and Predictive Sciences department with both people and portfolio responsibility in Oncology drug discovery and translational research at BMS.
Oversee global strategy and resource allocation to support two therapeutic groups/sites in the Oncology TA. Provide scientific leadership and cross-functional governance to pipeline entry, progression, and prioritization decisions.
Advance AI and automation innovation to accelerate Oncology drug discovery in target identification and validation, modality matching to mechanisms, and predictive biomarkers to enable clinical translation and early proof of concept.
Drive external collaborations and investments to develop new modalities, capabilities, and precision discovery approaches based on predictive insights from clinical and real-world patient evidence.
Serve on global departmental and site leadership to develop talent and create an innovative and inclusive work environment.

AIOncologyTranslational ResearchDrug DiscoveryPredictive BiomarkersCollaboration

Senior Director

Promoted

Oct 2021 – Mar 2024 · 2 yrs 5 mos

Director

Mar 2020 – Oct 2021 · 1 yr 7 mos

Celgene

Sr Principal Scientist & Protein Homeostasis Informatics Lead

Dec 2016 – Mar 2020 · 3 yrs 3 mos · San Diego County, California, United States · On-site

Led the Protein Homeostasis Informatics team responsible for advancing computational and machine learning research in oncology and hematology drug discovery and early development, focusing on targeted protein degradation approaches.

Computational BiologyMachine LearningOncologyHematologyDrug Discovery