A bit about me…

Background and career so far

I’m a computational biology, data scientist and bioinformatician living and working in London.

I grew up on the Wirral, which in case you’ve never heard of it is right about here…

Here’s a bar chart summarising my life and career to date:

Code 
import seaborn as sns
import matplotlib.pyplot as plt
import pandas as pd

# create data
life = pd.DataFrame({
    'life_stage': ["Growing up", "Sheffield University", "GSK industrial placement", "Sheffield University part 2", "AstraZeneca Alderley Edge", "AstraZeneca Cambridge", "Manchester University/CRUK PhD", "Benevolent AI", "Owkin"],
    'role': [
        "Messing around", "Biomedical science", "In vitro immunology", "Biomedical science", "Animal technician", "In vitro oncology & early clinical development", "Computational biologist & bioinformatician in cancer immunology", "Data science", "Data science"
    ],
    'months': [(18*12)+2, 2*12, 1*12,1*12, 8, 2*8, (3*12)+4, 20, 20],
    'me': ['My life']*9
})

life.loc[:, 'years'] = life['months'] / 12
life['life_stage'] = pd.Categorical(life['life_stage'], categories=["Growing up", "Sheffield University", "GSK industrial placement", "Sheffield University part 2", "AstraZeneca Alderley Edge", "AstraZeneca Cambridge", "Manchester University/CRUK PhD", "Benevolent AI", "Owkin"], ordered=True)

# Create the plot
import pandas as pd
import matplotlib.pyplot as plt

# Sample Data (Replace this with your actual DataFrame)
# Assuming 'life' already exists and has columns 'months', 'me', and 'life_stage'
life['years'] = life['months'] / 12  # Convert months to years

# Pivot data for stacking
life_pivot = life.pivot_table(index='me', columns='life_stage', values='years', aggfunc='sum')

# Plot stacked bar chart
fig, ax = plt.subplots(figsize=(8, 6))
life_pivot.plot(kind='barh', stacked=True, ax=ax, edgecolor='black')

# Customizing the plot to match ggplot2
ax.set_xlabel('Years')
ax.set_ylabel('')
ax.set_xlim(0, 32)
ax.set_xticks([0, 10, 20, 30])
ax.invert_yaxis()  # Flip to match coord_flip()

# Remove spines for minimal theme
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['left'].set_visible(False)

# Add legend and grid
ax.legend(title='Life Stage', bbox_to_anchor=(1, 1))
ax.grid(axis='x', linestyle='--', alpha=0.7)

plt.tight_layout()
plt.show()
/var/folders/p1/91bjgvms5h3c03fp_lkjdsyw0000gp/T/ipykernel_38230/954472691.py:27: FutureWarning: The default value of observed=False is deprecated and will change to observed=True in a future version of pandas. Specify observed=False to silence this warning and retain the current behavior
  life_pivot = life.pivot_table(index='me', columns='life_stage', values='years', aggfunc='sum')

Useful links for creating this website page