Meet the Lab

Lab Members

 
Kord Kober

Kord M. Kober,
PhD, MA, Principle Investigator

Associate Professor, DPN
Faculty, BCHSI
Member, HDFCCC
Member, PARC
ORCID iD icon Google Scholar icon NCBI Bibliography

Lisa Morse,
RN, CNS, MS

Doctoral Student
Age-related molecular mechanisms of cancer-related symptoms.
Co-advised with
Chris Miaskowski

Esther Chavez-Iglesias

Lab Manager
Staff Research Associate, and
UCSF PROPEL Trainee
Effects of anti-cancer agents on gene expression of fatigue-related pathways in PBMCs

Anatol Sucher

Senior Staff Research Associate		 Caroline Le

Caroline Le

Research Data Analyst I
NCI Diversity Supplement Trainee, and
UCSF PROPEL Trainee
Data-integrated multi-omic methods in cancer-related fatigue and neuropathy

Liam Berger

Data Science Trainee
Big data software tools using parallel computing (GPUs).
Junior
Design Tech High School, Redwood City, CA
Co-mentored with
Adam Olshen

Isha Kotalwar

Data Science Trainee
Accessing the Electronic Health Records (EHR) for Research.
Senior
The Harker School, San Jose, CA

Ritu Roy,
MS

Senior BioStatistician
Computational Biology
and Informatics, HDFCCC

Aaron Hechmer,
MSc

Bioinformatics Programmer
Computational Biology
and Informatics, HDFCCC

Carolyn Harris,
RN, PhD

Visiting Scholar, Univ. of Pittsburg
Trajectories and epigenetics of cancer-related symptoms.

Kate Oppegaard,
RN, CNS, PhD

Visiting Scholar, University of Massachusetts Boston – Dana-Farber/Harvard Cancer Center
Molecular mechanisms of cancer-related cogitive impairment and anxiety.

Joosun Shin,
RN, NP, PhD

Visiting Scholar, Dana-Farber Cancer Institute/Harvard Medical School
Molecular mechanisms of cancer-related cough, dyspnea, and pain.

Alumni

Name Current Position Original Position in Lab
Sandra Schimmel Adjunct Faculty, School of Nursing & Health Sciences, Aspen University. Postdoctoral Fellow. Molecular mechanisms of psychosocial symptoms. Co-advised with Chris Miaskowski
Kate Oppegaard Postdoctoral Fellow. Univ. of Massachusetts Boston – Dana-Farber/Harvard Cancer Center. Doctoral Student. Molecular mechanisms of cancer-related cogitive impairment and anxiety. Co-advised with Chris Miaskowski
Joosun Shin Postdoctoral Fellow. Univ. of Massachusetts Boston – Dana-Farber/Harvard Cancer Center. Doctoral Student. Molecular mechanisms of cancer-related cough, dyspnea, and pain. Co-advised with Chris Miaskowski
Lily Xu Doctoral student. Stress in patients. Advised by Cherry Leung Doctoral student. Neuropathy in patients undergoing chemotherapy. Co-advised with Chris Miaskowski
Man-Cheung Lee, MD, Ph.D. Clinical Instructor UCSF Department of Anesthesia / Stanford Department of Anesthesia Regional Anesthesia Fellow Resident, Anesthesia; Treatment for and mechanisms of pain. Co-mentored with
Mark Schumacher
Caroline Le Research Data Analyst, Kober Lab UCSF Molecular lab and Data Science Trainee; Nucleic acid isolation from blood, descriptive and inferential statistics and R/python programming
Ying Sheng, RN, PhD Assistant Professor, Vanderbilt University. Post-doctoral scholar, Indiana University; Genetics of palpitations in patients with cancer. Co-mentored with Janet Carpenter and Chris Miaskowski
Sarah Richoux, RN, PhD Nurse practitioner Post-doctoral scholar; Infant epigenetics associated with birth outcomes. Co-mentored with Sandra Weiss
Carolyn Harris, RN, PhD Post-doctoral scholar, University of Pittsburgh. Doctoral student; Trajectories and epigenetics of cancer-related symptoms. Co-advised with Chris Miaskowski
Maureen Lewis Medical clinic staff, Medical school applicant. Molecular lab and Data Science Trainee; Nucleic acid isolation from blood, descriptive and inferential statistics and R programming
Vasuda Dokiparthi Undergraduate, BS/MD Program, Penn State University Data Science Trainee; descriptive and inferential statistics and R programming. Co-mentored with Adam Olshen
Brian Yuen Medical Student, University of Central Florida Staff Research Associate
Nadia "Nate" Haas Registered Nurse Masters Student, Genetics of Exercise in Women with Breast Cancer. Co-advised with Chris Miaskowski
Kiley Charbonneau Medical Student, Loyola University Chicago Research Data Analyst
Brian Yuen Staff Research Associate Bioinformatics Trainee; Drug discovery and repurposing methods.
Sergio Diaz Staff Research Associate Staff Research Associate
India Bergeland Associate Bioinformatics Scientist at IDbyDNA Data Scientist Trainee; Bioinformatics and genomics methods.
Samantha Danison Engineering undergraduate, The George Washington University Bioinformatics Trainee; Genomics software tool development with MARSS.
Jiang Liu Bioinformatics Programmer Bioinformatics Programmer
Komal Singh Assistant Professor, Edson College of Nursing and Health Innovation, Arizona State University Post-Doctoral Fellow, UCSF. Phenotypic and molecular predictors of nausea in oncology patients receiving chemotherapy. Co-advised with Chris Miaskowski
Lan Wei Consultant at Navis Data Scientist Researcher, M.Eng student in Industrial Engineering and Operations Research (IEOR) at UC Berkeley. Development of machine learning models using demographic, clinical, activity, and gene expression data to predict weight loss. Co-mentored with Elena Flowers
Yiran Li Assistant Analyst at the National Information Center Economic Consulting Center (国家信息中心经济咨询中心). Data Scientist Researcher, M.Eng student in Industrial Engineering and Operations Research (IEOR) at UC Berkeley. Development of machine learning models using demographic, clinical, activity, and gene expression data to predict weight loss. Co-mentored with Elena Flowers
India Bergeland M.Eng Candidate in IEOR at UC Berkeley. Data Scientist Researcher, M.Eng student in Industrial Engineering and Operations Research (IEOR) at UC Berkeley. Development of machine learning models using demographic, clinical, activity, and gene expression data to predict weight loss. Co-mentored with Elena Flowers
Maria Marinaki Data Science Intern at Turo Data Scientist Researcher, M.Eng student in Industrial Engineering and Operations Research (IEOR) at UC Berkeley. Development of machine learning models using demographic, clinical, activity, and gene expression data to predict weight loss. Co-mentored with Elena Flowers
Siyuan Xue M.Eng Candidate in IEOR at UC Berkeley. Data Scientist Researcher, M.Eng student in Industrial Engineering and Operations Research (IEOR) at UC Berkeley. Development of machine learning models using demographic, clinical, activity, and gene expression data to predict weight loss. Co-mentored with Elena Flowers
Komal Singh Post-Doctoral Fellow, UCSF. Doctoral Student. Phenotypic and molecular predictors of nausea in oncology patients receiving chemotherapy. Co-advised with Chris Miaskowski
Isabel Michael Undergraduate, Santa Clara University Volunteer; Research assistant
Sam McCollum Senior Software Engineer at Allstate Volunteer; Software developer
Mayuri Thete Life Science Research Professional, Psych/Sleep Medicine, Stanford University Staff Research Associate