Stephanie Kong

Stephanie Kong Email and Phone Number

Principal Scientist, Clinical Pharmacology Modeling and Simulation @ Amgen
Cambridge, MA, US
Stephanie Kong's Location
Cambridge, Massachusetts, United States, United States
Stephanie Kong's Contact Details

Stephanie Kong work email

Stephanie Kong personal email

n/a
About Stephanie Kong

Scientist passionate about clinical pharmacology and pharmacometrics. Additional experience in pre-clinical studies and drug delivery.

Stephanie Kong's Current Company Details
Amgen

Amgen

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Principal Scientist, Clinical Pharmacology Modeling and Simulation
Cambridge, MA, US
Website:
amgen.com
Employees:
35769
Company phone:
+ 0120-790-549
Stephanie Kong Work Experience Details
  • Amgen
    Principal Scientist, Clinical Pharmacology Modeling And Simulation
    Amgen
    Cambridge, Ma, Us
  • Amgen
    Principal Scientist
    Amgen Sep 2024 - Present
    Thousand Oaks, Ca, Us
  • Amgen
    Senior Scientist
    Amgen Jul 2023 - Sep 2024
    Thousand Oaks, Ca, Us
    • Built pharmacostatistical models to support population pharmacokinetic/pharmacodynamic and exposure-response analyses. Skilled in time-to-event and discrete/continuous-time markov models.• Participated in cross-functional project teams to provide scientific input for dose selection for early and late-stage clinical programs (preclinical/first-in-human IND, BLA/NDA, sNDA, post-market)• Provided modeling support for programs across multiple therapeutic areas (oncology, cardiometabolic, and inflammation) and modalities (siRNA, small molecule, bispecific T-cell engagers, monocolonal antibodies)• Conducted population pharmacokinetic analysis supporting BLA submission and accelerated approval of tarlatamab, a first-in-class bispecific t-cell engager for solid tumors
  • Amgen
    Scientist
    Amgen Jun 2022 - Jul 2023
    Thousand Oaks, Ca, Us
  • Alnylam Pharmaceuticals
    Postdoctoral Associate
    Alnylam Pharmaceuticals Jun 2021 - Jun 2022
    Cambridge, Massachusetts, Us
    • Provided PK/PD support and guidance to clinical stage project teams• Conducted PK/PD analyses and provides PKPD input for regulatory submissions• Developed population pharmacokinetic models for liver targeted therapies• Conducted concentration - QT analyses for siRNA therapies• Designed and developed a clinical trial simulation ShinyApp for population PK/PD simulation of liver targeted therapies
  • Mit School Of Engineering
    Phd Candidate - Hammond Lab
    Mit School Of Engineering Sep 2016 - Jun 2021
    Cambridge, Ma, Us
    • Engineered layer-by-layer nanoparticle technology for targeted delivery to high grade serous ovarian cancer• Experience with siRNA loading and encapsulation, formulation of polymeric and lipid-based nanoparticles• Identified and characterized key physico-chemical relationships between nanoparticle lipid composition, mechanical properties, and in vivo pharmacokinetics and tumor accumulation • Identified optimal nanoparticle mechanical properties for efficient intracellular delivery to HGSOC• Collaborated on a team of five with Joan Brugge, Ph.D. (Harvard Medical School) to deliver a translational triple combination targeted nanoparticle therapy to patient-derived models of high grade serous ovarian cancer• Screened over 130 formulation conditions and utilized design of experiments to identify optimal synthesis conditions for stable small molecule drug encapsulation, maximal loading and high encapsulation efficiency. • Conducted nanoparticle stability studies and characterized drug release kinetics • Generated in vitro dose-response curves, analyzed drug synergy, and developed protocols for high-throughput screening• Synthesized fluorescent nanoparticles and carried out in vivo imaging and biodistribution studies• Designed and carried out dose-escalation experiments to determine maximum tolerated dose for pre-clinical animal studies. Assessed safety and toxicity profile of drug candidates• Designed and carried out survival studies in pre-clinical cancer models• Carried out immunofluorescence / immunohistochemistry staining, imaging and analysis of tumor and organ tissue sections
  • Mit School Of Engineering
    Communication Fellow, Communication Lab
    Mit School Of Engineering Jun 2019 - May 2021
    Cambridge, Ma, Us
    • Led and designed fellowship and graduate application assistance workshops for underrepresented minorities.• Coached graduate students and postdocs on manuscript writing, career materials, fellowships and grants.
  • Mit School Of Engineering
    Lead Author, Mit Science Policy Review
    Mit School Of Engineering Aug 2019 - Aug 2020
    Cambridge, Ma, Us
    • Led a team of five to co-author a featured article for the first publication of the MIT Science Policy Review. SPR seeks to enhance scientific understanding of policy makers and the general public.
  • Mit School Of Engineering
    Co-Chair, Graduate Women At Mit
    Mit School Of Engineering Jun 2019 - Jul 2020
    Cambridge, Ma, Us
    • Led an eleven-member executive board. Oversaw planning and execution of two annual conferences and an orientation event reaching 600+ graduate students. • Overhauled organization’s branding and diversity efforts.
  • Mit School Of Engineering
    Graduate Teaching Assistant - Chemical And Biological Kinetics And Reactor Design
    Mit School Of Engineering Jan 2019 - May 2019
    Cambridge, Ma, Us
    • Developed exam questions, homework problems, solution keys, and exam review material• Hosted office hours and managed online Q&A platform.
  • Novartis
    Modeling Consultant
    Novartis Feb 2019 - Aug 2019
    Basel, Baselstadt, Ch
    • Developed a biochemical simulator application in Python. This modeling tool enables chemists to predict local in vivo drug clearance kinetics• Designed tool to build and solve systems of ODEs using minimal user input. • Self-taught Python language
  • Woodside Energy
    Technology And Operations Consultant
    Woodside Energy Mar 2018 - May 2018
    Perth, Western Australia, Au
    • Researched technologies for clean gas production and generated cost-benefit analyses (Perth, AU)• Developed an Excel VBA application to forecast faults in plant power generation (Karratha, AU)
  • Merck
    Process Engineering Consultant
    Merck Jan 2018 - Mar 2018
    • Managed a team of three that optimized operations in GMP vaccine production and resolved issues with flow measurement (Brinny, Ireland)• Worked with plant operations and contractors to conduct a root cause analysis and identify issues in the plant steam system. Developed simulations to forecast and mitigate future vulnerabilities (Carlow, Ireland)
  • Carnegie Mellon University
    Undergraduate Student Researcher, Center For The Environmental Implications Of Nanotechnology
    Carnegie Mellon University May 2015 - Jul 2015
    Pittsburgh, Pa, Us
    • Developed methods to determine the effect of silver nanoparticles on the environment.• Characterized the effect of natural organic matter and salinity on the flocculation of silver nanoparticles
  • Praxair
    Data Analyst For Advanced Controls And Operations Research
    Praxair Mar 2014 - May 2015
    Danbury, Ct, Us
    • Designed a VBA application to manage dry ice supply chain and estimate supply chain demand• Developed a network model using LogicNet that will allow Praxair to analyze and manage dry ice supply chain market in California• Managed portal and accounts for Praxair PDI cylinder delivery forecasting software.• Created engineering memorandums and manuals for various optimization tools.
  • University At Buffalo Chemical Engineering Department
    Undergraduate Student Researcher
    University At Buffalo Chemical Engineering Department Jan 2013 - May 2015
    Buffalo, Ny, Us
    • Published paper on effect of proplylene oxide linkers in branched amphiphilic polymers on surfactant solubility and thermodynamics
  • University At Buffalo Chemical Engineering Department
    Teaching Assistant
    University At Buffalo Chemical Engineering Department Sep 2012 - May 2013
    Buffalo, Ny, Us
    • Tutored gifted seventh grade students in operational systems, logic, number theory, probability and statistics
  • University Of Minnesota
    Undergraduate Student Researcher, Materials Research Science And Engineering Center
    University Of Minnesota Jun 2013 - Aug 2013
    Minneapolis And St. Paul, Minnesota, Us
    • Published paper on the film-formation of composite poly(methyl methacrylate) poly(butyl acrylate) (PMMA-PBA) hard shell-soft core particles

Stephanie Kong Skills

Matlab Protein Chemistry Sql Vba Fluorescence Spectroscopy Afm Atomic Force Microscopy Gwyddion C++ Language Maple Pymol Jmol Powerpoint Microsoft Word Microsoft Excel Nanoparticles Ibm Ilog Logicnet C++ Imagej

Stephanie Kong Education Details

  • Massachusetts Institute Of Technology
    Massachusetts Institute Of Technology
    Chemical Engineering
  • Massachusetts Institute Of Technology
    Massachusetts Institute Of Technology
    Chemical Engineering
  • University At Buffalo
    University At Buffalo
    Chemical Engineering
  • University At Buffalo
    University At Buffalo
    Spanish Language And Literature
  • Instituto Internacional (Madrid)
    Instituto Internacional (Madrid)
    Spanish

Frequently Asked Questions about Stephanie Kong

What company does Stephanie Kong work for?

Stephanie Kong works for Amgen

What is Stephanie Kong's role at the current company?

Stephanie Kong's current role is Principal Scientist, Clinical Pharmacology Modeling and Simulation.

What is Stephanie Kong's email address?

Stephanie Kong's email address is sk****@****lam.com

What schools did Stephanie Kong attend?

Stephanie Kong attended Massachusetts Institute Of Technology, Massachusetts Institute Of Technology, University At Buffalo, University At Buffalo, Instituto Internacional (Madrid).

What are some of Stephanie Kong's interests?

Stephanie Kong has interest in Skiing, Cooking, Traveling, Environment, Education, Languages And Culture, Swimming.

What skills is Stephanie Kong known for?

Stephanie Kong has skills like Matlab, Protein Chemistry, Sql, Vba, Fluorescence Spectroscopy, Afm, Atomic Force Microscopy, Gwyddion, C++ Language, Maple, Pymol, Jmol.

Who are Stephanie Kong's colleagues?

Stephanie Kong's colleagues are Sung Jun Bae, Chris Avina, Nelia Tunac, Hardo Fischer, Vanessa Neal, Isha Khopkar, Lubna Abuqayyas.

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